throbber
APPL-1009/Page 1 of 26
`Apple Inc. v. Corephotonics
`
`

`

`Lengfohd’e
`Advanced
`Photography
`
`Seventh Edition
`
`APPL-1009 / Page 2 of 26
`
`
`
`APPL-1009 / Page 2 of 26
`
`

`

`Langfond’e
`Advanced
`Photography
`
`Seventh Edition
`
`Michael Langfond FBIPP,I-IonFRPS
`Royal College of Art, London
`
`Efthimia Bilieei MSc PhD AIS ARPS
`Senior Lecturer
`
`University of Westminster, London
`
`Conthibutor‘e
`Elizabeth Allen BSc MSc
`Course Leader BSc (Hons) Photography and Digital Imaging
`University of Westminster, London
`
`Andy Golding
`Head of Department of Photography and Film
`University of Westminster, London
`
`Hani Muarnrnar“ BSc MSc PhD MIET
`Senior Scientist
`
`Kodak European Research
`
`Sophie Tr‘iantaphillidou BSc PhD ASIS FRPS
`Leader Imaging Technology Research Group
`University of Westminster, London
`
` AMSTERDAM ° BOSTON ° HEIDELBERG ° LONDON ' NEW YORK ° OXFORD
`
`1s
`
`ELSEVIER
`
`PARIS ° SAN DIEGO ' SAN FRANCISCO ° SINGAPORE ° SYDNEY ' TOKYO
`Focal Press is an imprint of Elsevier
`
`Press
`
`Focal
`
`APPL-1009 / Page 3 of 26
`
`APPL-1009 / Page 3 of 26
`
`

`

`
`
`First published 1969
`Second edition 1972
`Third edition 1974
`Fourth edition 1980
`Fifth edition 1989
`Reprinted 1992, 1993, 1994, 1995
`Sixth edition 1998
`
`Reprinted 1999, 2001, 2003, 2004, 2005, 2006
`Seventh edition 2008
`
`Copyright © 2008, Pamela Langford, Dr. Efthimia Bilissi.
`Contributors: Elizabeth Allen, Dr. Sophie Triantiphilidou, Andy Golding and Dr. Hani Muammar.
`Published by Elsevier Ltd. All right reserved
`
`The right of Dr. Efthimia Bilissi, Michael Langford, Elizabeth Allen, Dr. Sophie
`Triantiphilidou, Andy Golding and Dr. Hani Muammar to be identified as the authors
`of this work has been asserted in accordance with the Copyright, Designs and Patents Act 1988
`No part of this publication may be reproduced, stored in a retrieval system or transmitted
`in any form or by any means electronic, mechanical, photocopying, recording or
`otherwise without the prior written permission of the publisher
`Permissions may be sought directly from Elsevier’s Science & Technology Rights
`Department in Oxford, UK: phone: (+44] (0) 1865 843830; fax: (+44) (0) 1865 853333;
`email: permissions@elsevier.com. Alternatively you can submit your request online by
`visiting the Elsevier web site at http://elsevier.com/locate/permissions, and selecting
`Obtaining permission to use Elsevier material
`Notice
`
`No responsibility is assumed by the publisher for any injury and/or damage to persons or
`property as a matter of products liability, negligence or otherwise, or from any use or
`operation of any methods, products, instructions or ideas contained in the material herein.
`Because of rapid advances in the medical sciences, in particular, independent verification
`of diagnoses and drug dosages should be made
`
`British Library Cataloguing in Publication Data
`Langford, Michael John, 1933»
`Langford’s advanced photography. — 7th ed.
`1. Photography
`1. Title II. Bilissi, Efthimia III. Langford, Michael John,
`1933—. A dvanced photography
`771
`
`Library of Congress Number: 2007938571
`ISBN: 978—O«240—52038—4
`
`
`
`
`For information on all Focal Press publications
`visit our website at www.focalpress.com
`
`
`
`
`Typeset by Charon Tec Ltd [A Macmillan Company), Chennai, India
`www.charonteccom
`
`Printed and bound in Slovenia
`080910111110987654321
`
`
`Working together to grow
`libraries in developing countries
`wwwelseviercom I wwwbookaidorg I wwwsabreorg
`ELSEVIER
`£225,533
`Sabre Foundation
`
`
`
`
`
`
`
`
`
`
`
`APPL-1009 / Page 4 of 26
`
`APPL-1009 / Page 4 of 26
`
`

`

`Picture credits
`Introduction
`
`xiii
`xv
`
`
`’1 Amateur and professional photography
`
`
`
`
`\ F
`fiyr
`Kg;
`I,
`(1
`
`\ ll
`
`Differences in approach
`How photographs are read
`Markets for professional photography
`Roles within a photographic business
`Turning professional
`
`Summary
`
`2 Camera equipment
`
`
`
`Camera design
`
`Image format
`
`Specialized accessories
`Which one is best?
`
`Avoiding camera failures
`The digital revolution
`
`Digital camera equipment
`
`Comparing digital and silver halide camera equipment
`
`Summary
`
`Projects
`
`3 Choosing lenses
`
`
`
`The lens designer’s problems
`
`Checking lens image quality
`
`_
`
`Understanding modulation transfer function
`
`Buying lenses
`
`Special lens types
`
`Influences on image sharpness
`
`Using lenses created for 35 mm systems on DSLRs
`
`Summary
`
`Projects
`
`’I
`3
`5
`’I
`’l
`13
`
`14
`
`’I 5
`
`’l5
`
`18
`
`24
`26
`
`28
`28
`
`35
`
`38
`
`39
`
`4’l
`
`42
`
`42
`
`47
`
`48
`
`55
`
`55
`
`83
`
`84
`
`85
`
`87
`
`APPL-1009 / Page 5 of 26
`
`APPL-1009 / Page 5 of 26
`
`

`

`CDLOFMA—STEE;
`
`
`
`Light and colour
`
`The human visual system
`
`Light sources and their characteristics
`
`Colour temperature
`
`Standard illuminants
`
`Classification of colour
`
`How we see colour
`
`Summary
`
`Projects
`
`Film design
`
`Choosing films
`
`Understanding technical descriptions
`
`Film MTF
`
`Characteristic curves
`
`Spectral sensitivity
`
`Reciprocity failure
`
`Product coding
`
`Special materials
`
`Summary
`
`Projects
`
`An introduction to image sensors
`
`Alternative sensor technologies
`
`Image artefacts associated with sensors
`
`Summary
`
`Projects
`
`
`
`APPL-1009 / Page 6 of 26
`
`APPL-1009 / Page 6 of 26
`
`

`

`
`
`
`Size of light sources
`
`Direction and angle of light
`
`Distribution of light
`
`Contrast and exposure
`
`Colour and colour temperature
`
`Practical control of colour
`
`Guidelines for lighting
`
`Lighting equipment
`
`Lighting principles in practice
`
`Summary
`
`Projects
`
`Practical influences
`
`Tone control theory
`
`Precision measurement of exposure
`
`The zone system
`
`Putting the zone system to work
`
`Limitations to the zone system
`
`Tone changes after film processing
`
`Controls during enlarging
`
`Summary
`
`Projects
`
`129
`
`132
`
`133
`
`134
`
`137
`
`139
`
`140
`
`142
`
`144
`
`154
`
`155
`
`178
`
`158
`
`159
`
`183
`
`185
`
`171
`
`173
`
`174
`
`178
`
`177
`
`APPL-1009 / Page 7 of 26
`
`APPL-1009 / Page 7 of 26
`
`

`

`
`
`Sport and action
`
`Photo—journalism/documentary
`
`Portraiture
`
`Weddings
`
`Landscapes
`
`Architecture
`
`Built studio sets
`
`Studio still-Iifes
`
`Natural history
`
`Aerial subjects
`
`Night skies
`
`Summary
`
`Projects
`
`’l C) Digital imaging systems
`
`
`
`The computer workstation
`
`Inputs
`
`Types of scanners
`
`Scanner characteristics
`
`Setting up the scanner
`
`Image outputting — Displays
`
`Characteristics of display systems
`
`Image outputting — Digital printers
`
`Printer characteristics
`
`Summary
`
`Projects
`
`
`
`APPL-1009 / Page 8 of 26
`
`APPL-1009 / Page 8 of 26
`
`

`

`
`
`i
`
`What is workflow?
`General considerations in determining workflow
`Capture workflow
`Digital image files
`Choosing file format
`Image compression
`Properties of common image file formats
`Image processing
`image processing workflow
`Digital colour
`Summary
`Projects
`
`301
`
`The processes themselves
`Points to watch
`Equipment
`Making a choice
`Process control
`Silver recovery
`Colour printing equipment
`Print materials
`Negative/positive colour printing
`Positive/positive colour printing
`Shading and printing-in
`Making a ring—around
`Additional points to watch
`Colour/exposure analysing aids
`Other colour lab procedures
`Summary
`Projects
`
`229
`229
`233
`237
`240
`24’I
`248
`247
`249
`258
`284
`288
`
`287
`272
`275
`279
`280
`284
`285
`288
`289
`292
`293
`298
`295
`295
`298
`299
`
`APPL-1009 / Page 9 of 26
`
`APPL-1009 / Page 9 of 26
`
`

`

`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`
`Photographing the invisible
`
`Underwater photography
`Panoramic photography
`Stereo photography
`‘Hand—made’ image processes
`Summary
`
`Projects
`
`Reproduction of the printed page
`Supplying photographs for reproduction
`Picture libraries
`
`Images on the World Wide Web
`Multimedia
`
`Permanence, storage and archiving
`Summary
`
`Projects
`
`Starting out
`
`Working as an assistant
`
`Becoming a photographer
`Running a business
`
`Book—keeping
`
`Charging for jobs
`
`Commissioned work
`
`Copyright
`
`Marketing your business
`
`Summary
`
`385
`
`389
`
`APPL-1009 / Page 10 of 26
`
`APPL-1009 / Page 10 of 26
`
`

`

`Appendices
`
`Appendix A: Optical calculations
`Appendix B: Gamma and average gradient
`Appendix C: Chemical formulae: Health and safety
`Appendix D: Lighting and safety
`Appendix E: Batteries
`Appendix F: Colour conversion filter chart
`Appendix [3: Ring around chart
`
`‘
`
`i
`
`Glossary
`
`Index
`
`370
`372
`372
`377
`377
`378
`379
`
`380
`
`370
`
`407
`
`APPL-1009 / Page 11 of 26
`
`APPL-1009 / Page 11 of 26
`
`

`

`
`
`loading film. Fitting a hood of correct diameter will reduce the risk of something getting in front
`of the lens.
`
`Remember the value of having an instant«picture back, to allow you to confirm visually that
`lens and body are working correctly e plus checking lighting, exposure and composition — at any
`time during a shoot. Some professional photographers habitually expose one instant picture at
`the beginning and another at the end of every assignment, as insurance. It is also a good idea to
`carry another complete camera (a 35 mm SLR, for example) as emergency back—up.
`
`The digital revolution
`
`he first patents for devices capturing images electronically were filed as far back as 1973.
`Kodak created a prototype digital camera in 1975 using a charge—coupled device (CCD),
`recording black and white images on to digital cassette tape; however it was built to test
`the feasibility of digital capture using solid state sensors, rather than as a camera for manufacture
`[due to it’s bulky size and a weight of nearly 3.6 kg). It was not until 1981 that Sony developed a
`camera using a CCD, suitable to be hand—held and available to the consumer. The birth of digital
`still cameras as we know them today happened in 1988, when Fuji showcased their camera, the
`DS—1P, at Photokina. Early digital formats could not compete with their film equivalents in terms
`of cost or quality; digital cameras as a practical option for consumers were not really available
`until the mid«1990s Since then the digital market and technologies have grown exponentially.
`The move to digital imaging by many photographers has involved a preceding step via
`’hybrid’ imaging — that is, capture on film followed by digitization using a scanner. However,
`in the last ten years, huge advances in sensor technology, computing capabilities and the
`widespread adoption of broadband (ADSL) Internet connection by the consumer have meant
`that digital imaging has finally arrived. For example, most households in Britain now own at
`least one computer and the majority of new mobile phones have a built—in digital camera. The
`digital camera market has therefore been advanced by the consumer market and of course the
`widespread use of imaging on the Internet.
`
`Immediate results and the ability to easily manipulate, store and transmit images have
`become a priority in many disciplines, with some sacrifice in the quality that we expect in our
`images. In the professional market there have also been compromises between versatility of
`systems and image quality, but progress towards the uptake of entirely digital systems has been
`somewhat slower. In some types of photography image quality is still more important than
`speedy processing and the lack of equipment available in larger formats has meant that film—
`based systems are still common. Sports photography and photojournalism, however, have
`embraced a predominantly digital workflow from capture to output.
`
`Instead of exposing onto silver halide coated film, currently the majority of digital cameras contain
`one of two types of light sensitive array, either a charge—coupled device, known as a CCD, which
`is common in earlier digital cameras, or fast overtaking it, the complementary metal«oxide
`semiconductor or CMOS image sensor. The sensor is in the same position as the film in an analogue
`camera. Many of the key external features of digital and film cameras are similar, but digital cameras
`have a whole other layer of complexity in terms of user controls in the camera software.
`
`APPL-1009 / Page 12 of 26
`
`APPL-1009 / Page 12 of 26
`
`

`

`
`
`
`
`Both type
`
`s 0f digital image sensor are based on the same material, silicon, which when
`amounts of other elements, can be made sensitive to light. When exposed to
`‘doped’ with small
`light
`it produces a small amount of electrical charge proportional to the amount of light falling
`on it which is stored, transported off the sensor, converted into a stream of binary digits (1’s or
`0'5 hence the name ’digital imaging’), and written into a digital image file. The process is a
`complex one, and the structure and operation of the sensor is covered in more detail in Chapter 6.
`There are many fundamental differences between film—based and digital imaging, not least that
`where a frame of film both captures and stores the image, and is therefore not reusable, a digital
`sensor captures the image, but it is then transported away and stored as an image ’file'
`Somewhere off the Chip. Theoretically, if an image file is not compressed and is continually
`copied and migrated across different media, it is permanent and can be reproduced as many
`times as required, without any degradation in quality.
`
`Sampled images
`Another key difference between digital and analogue imaging is the fact that the digital image is
`cap
`ruled across a regular grid of pixels (Picture Elements]. Each pixel is an individual image—
`sensing element, which produces
`a response based on the average
`amount of light falling on it.
`Where film ‘grains’ are distributed
`randomly through a film emulsion
`and overlap each other to create
`
`~
`/ T
`_
`f‘
`
`
`
`L
`
`*
`
` ’
`
`,
`
`,
`
`7
`
`.-
`
`i
`
`‘,
`L
`
`i
`
`H
`
`‘
`
`'
`J»
`
`_
`
`77
`
`,
`
`7' i
`
`i
`
`,
`L
`
`
`V
`
`I
`
`the impression of continuous
`tones, pixels are non—overlapping
`and if a digital image is magnified,
`individual pixels will become very
`evident. Digital images are a
`discrete representation. This is
`further accentuated by the fact
`
`that pixels are not only discrete
`units across the spatial
`dimensions of the image, but that
`
`they can only take certain values
`and are solid blocks of colour. The
`
`process of allocating a continuous
`input range of tone and colour to
`a discrete output range which
`changes in steps, is known as
`quantization (see Figure 2.12). The
`whole pixel will be the same
`colour, regardless of the fact that
`the light falling on it in the
`
`Figure 212 Sampling and quantization in a digital image: (a) The image is
`spatially sampled into a grid of discrete pixels; (b) The continuous colour range from
`the original scene is quantized into a limited set of discrete levels, based on the bit
`depth of the image.
`across the pixel areal
`
`
`original scene may have varied
`
`APPL-1009 / Page 13 of 26
`
`APPL-1009 / Page 13 of 26
`
`

`

`colour values. The stepped changes in colour values and the non—overlapping nature of the pixels
`are limiting factors in the quality and resolution of a digital image. The spatial sampling rate is
`determined by the physical dimensions of the sensor. The quantization levels depend upon the
`sensitivity of the sensor, analogue to digital conversion, image processing in the capture device
`and ultimately on the output file format.
`
`
`
`Resolution is the capability of an imaging system to distinguish between two adjacent points in
`an image and is a measure of the detail—recording ability of a system. It defines how sharp your
`images will appear and what level of fine detail will be represented. In any imaging system this is
`affected by every component through which light passes; in a film«based system the lens and the
`film will be the key factors, but anything placed over the lens or sensor, such as a filter, may also
`afgect it. It is usually the resolution of the image sensor that is the ultimate limiting factor, which is
`why film grain is important, although a poor quality lens, as any photographer knows, is a
`primary cause ofloss of sharpness. There are a number of measures of resolution, but two
`commonly used and covered in more detail in the chapters on lenses and film are resolving power
`and Modulation Transfer Function (MTF).
`
` A digital image is therefore ’sampled’ both across its physical dimensions and in terms of its
`
`Where resolution in traditional film—based imaging is well—defined, the different ways in
`which the term is used and its range of meanings when referring to digital systems can be
`confusing. It is helpful to understand these differences and to be clear about what resolution
`means at different stages in the imaging chain. You will see the term explained and used in
`different contexts throughout this book, but to summarize.
`
`Fundamentally, digital images do not have an absolute resolution, but a number of pixels.
`The level of detail that is represented will depend upon how this number of pixels are captured
`or viewed. Therefore, image resolution is often quoted in pixel numbers, calculated by number of
`rows X number of columns. It may be referred to in terms of megapixels, a megapixel being a
`million pixels; this is a value often quoted by digital camera manufacturers.
`
`At different stages in the imaging chain, resolution may also be measured as a function of
`distance. Scanner or monitor resolution, for example, may be quoted in terms of numbers of
`pixels per inch [ppi) and printers are often specified in terms of dots per inch (dpi). The
`combinations of these different resolutions in the output image determine the final image quality
`and also output image size. These relationships are examined in more detail in the chapter on
`digital imaging systems. When quoted by manufacturers of these devices, they will usually quote
`the upper limit for that device, although it will be possible to capture and output images at a
`range of resolutions below this.
`
`A clever trick that manufacturers often use to enhance the apparent characteristics of
`their devices is to quote interpolated resolution. This applies to cameras and scanners. The
`actual (or optical) resolution of a device is defined by the number of individual elements and
`their spacing; however it is possible to rescale an image by interpolating values between the
`actual values, in effect creating false pixels. The visual effects of this are a slight blurring of
`the image, because the interpolation process averages adjacent pixels values to create the
`new pixels.
`
`APPL-1009 / Page 14 of 26
`
`APPL-1009 / Page 14 of 26
`
`

`

`In cameras too, the effective resolution may be quoted, although manufacturers may not
`identify it as anything other than resolution. Again, this is a form of interpolated resolution, but
`refers in this case to the fact that in the majority of cameras, the sensor is filtered, so that each
`pixel captures only one colour, usually red, green or blue. To obtain the other colour values at
`each pixel in the captured RGB image, adjacent pixels of each colour are used and the missing
`values interpolated. As with all interpolation there is an associated blurring and loss of quality.
`There is an exception, however: in the last few years, a new sensor, the FoveonTM chip, has been
`developed, which captures colour at different depths in the sensor and therefore captures all
`GB values at every pixel. This sensor, however, is only available in a few cameras
`three R
`1y on the market, so for the majority, effective resolution still applies.
`current
`
`
`
`How many pixels?
`When buying a digital camera, resolution is a primary consideration, and a key factor in image
`quality, however the previous discussion indicates the confusion around the subject. The highest
`number of megapixels does not necessarily represent the highest quality or automatically mean
`that the largest level of detail will be reproduced. Other factors are involved as well.
`The pixel pitch, which is the centre—to—centre distance between pixels and relates to the
`overall pixel size, is important in determining the maximum level of detail that the system is able
`to reproduce. Tied up with this however, is the imaging area of each pixel, which in some
`cameras may be as low as 20%, due to the inclusion of other components and wiring at each
`pixel and channels in between imaging areas. Also, the pixel shape; whether there are
`microlenses above each pixel to focus and maximize the light captured; even the interpolation
`algorithms used in calculating missing colour values, which vary between manufacturers, these
`will have an effect on final image resolution. These factors combine to influence the shape of the
`sensor’s MTF and it is this that is a far better indicator of how well a camera will perform. The
`quality of the lens must additionally be taken into account. Finally, and really important, is the
`pixel size relative to the overall size of the imaging area on the sensor.
`What the above discussion highlights is the complicated nature of resolution as a measure
`of image quality in digital cameras. Do not make a choice based solely on the number of
`megapixels. Make informed decisions instead, based on results from technical reviews and from
`your own observations through testing out different camera models. You need to decide
`beforehand how you want to use the camera, for what type of subjects, what type of
`photography and what type of output.
`Bearing all this in mind, it is still useful to have an idea of the physical size of output images
`that different sensor resolutions will produce. Print resolution requirements are much greater
`than those for screen images. Although it is now widely accepted that images of adequate
`quality can be printed at 240 dpi, or perhaps even lower, a resolution of 300 dpi is commonly
`given as required output for high—quality prints. Some picture libraries and agencies may,
`instead of specifying required image size in terms of output resolution and dimensions, state a
`required file size instead. It is important to note that this is uncompressed file size. It is also
`necessary to identify the bit depth being specified as this will have an influence on file size.
`Figure 2.13 provides some examples for printed output.
`
`
`
`APPL-1009 / Page 15 of 26
`
`APPL-1009 / Page 15 of 26
`
`

`

`
`
`INPUT: CMOS or CCD image sensor
`
`OUTPUT: 8 bits per channel RGB images
`printed at 300 dpi
`
`Megapixels
`
`Sensor resolution
`Pixels
`
`Sensor size
`mm
`
`File size
`MB
`
`Output print size
`inches
`
`16.6
`12.7
`10.1
`8.2
`7.1
`
`w
`4992
`4368
`3888
`3504
`3072
`
`h
`3328
`2912
`2592
`2336
`2304
`
`w
`36
`35.8
`22.2
`22.5
`5.7
`
`h
`24
`23.9
`14.8
`15
`4.3
`
`47.5
`36.4
`28.8
`23.4
`20.3
`
`w
`16.6
`14.6
`13.0
`11.7
`10.2
`
`Sensor resolution, dimensions, file size and printed output.
`
`Digital image capture is a complex process. The signal from the sensor undergoes a number of
`processes before it is finally written to an image file. The processes are carried out either on the
`sensor itself, in the camera’s built—in firmware or via camera software, in response to user
`settings. They are designed to optimize the final image according to the imaging conditions,
`camera and sensor characteristics and output required by the user. The actual processes and the
`way they are implemented will vary widely from camera to camera. Some are common to most
`digital cameras however. They will be covered in more detail in other chapters, but are
`summarized below. They include:
`
`Signal amplification: This may be applied to the signal before or after analogue—to—digital conversion; this is a
`result of auto exposure setting within the camera and ensures that the sensor uses its full dynamic range. In
`effect the contrast of the sensor is corrected for the particular lighting conditions.
`Ana/ogue-to—digital conversion: The process of sampling and converting analogue voltages into digital values.
`Noise suppression: There are multiple sources of noise in digital cameras. The level of noise depends upon the
`sensor type and the imaging conditions. Adaptive image processing techniques are used to remove different
`types of noise. Noise is enhanced if the camera gets hot (the sensor is sometimes cooled to reduce the noise
`levels), also if long exposures or high lSO settings are used,
`Unsharp mask filtering: Used to sharpen edges and counteract blurring caused by interpolation.
`Colour interpolation (demosa/cing): This is the process of calculating missing colour values from adjacent colour—
`filtered pixels.
`
`These are sensor specific, in—built and not user controlled. Additionally, settings by the user will
`implement processes controlling:
`
`White balance: The image colours (the gamut) are shifted to correct for the white of the illuminant and ensure
`that neutrals remain neutral. White point setting may be via a list of preset colour temperatures, calculated by
`capturing a frame containing a white object, or measured by the camera from the scene. In film cameras, this
`requires a combination of selecting film for a particular colour temperature and using colour—balancing or colour-
`correction filters.
`
`lSO speed: The sensitivity of the sensor is set by amplifying the signal to produce a required range of output
`values under particular exposure conditions. Again in film cameras, this would be achieved by changing to a film
`
`APPL-1009 / Page 16 of 26
`
`APPL-1009 / Page 16 of 26
`
`

`

`of a different ISO. ISO settings usually range from 100 up to 800. Some cameras will allow ISO values up to
`1600 or even 3200. The native ISO 0f the sensor however is usually TOO—200. Anything above this is a result of
`amplification. Amplifying the signal also amplifies the noise levels and this may show up as coloured patterns in
`flat areas within the image,
`sure and the image histogram: This is a process of shifting the output values by amplification of the input
`Expo
`maximum range of output values is produced, ideally without clipping the values at the
`signal, to ensure that the
`ge, The actual exposure measurements are taken through the lens as for a film camera
`top or bottom of the ran
`and image processing takes care of the rest. To optimize this process the image histogram is provided in SLRs
`and larger formats to allow exposure compensation and user adjustment. This is a graphical representation, a
`bar chart of the distribution of output levels and is an accurate method of ensuring correct exposure and
`contrast, as viewing the image in the low resolution and poor viewing conditions of the LCD preview window
`may produce inaccurate results. In particular, it can be difficult to tell in the preview when highlight values are
`clipped, a situation to be avoided. The histogram will easily alert you to this and allow you to make necessary
`adjustments for a perfect exposure. For more information on exposure and the histogram, see Chapter 1 I.
`Image resolution: Many cameras, will allow a number of resolution settings, lower than the native resolution of
`the camera to save on file size. These lower resolutions will be achieved by down—sampling, either dropping pixel
`values completely if the image is being downsampled by a factor of 2, or by interpolating values from the
`existing sensor values.
`Capture into a standard co/our space: With the necessary adoption of colour-managed workflow, a number of
`standard colour spaces have emerged. Capturing into a standard colour space means that the image gamut has
`the best chance of being reproduced accurately throughout the imaging chain (see Chapter If for further details).
`The two most commonly used standard colour spaces in digital cameras are sRGB and Adobe R68 (1998). sRGB is
`Optimized for images to be viewed on screen. The slightly larger gamut of Adobe RGB encompassed the range of
`colours reproduced by most printers and is therefore seen as more suitable for images that are to be printed.
`Fi/e quality (if image is to be compressed) and file format: I\/Iost cameras will offer a range of different output file
`formats. The most common ones in digital cameras are JPEG, TIFF and RAW formats. The merits of these different
`formats are discussed in detail in Chapter I I. Of the three, JPEG is the only one that compresses the image,
`resulting in a loss of information. A quality setting defines the severity of the loss, file size and resulting artifacts.
`TIFF and RAW are uncompressed and therefore file sizes are significantly larger. TIFF is a standard format that may
`be used for archiving images without loss. RAW is more than a file format, as it results in almost unprocessed data
`being taken from the camera. With RAW images, the majority of the image processing detailed above is
`performed by the user in separate software after the image has been downloaded from the camera.
`
`.
`
`.
`
`This short summary highlights some of the differences between using film and working
`digitally. The immediacy of results from digital cameras is somewhat counterbalanced by the
`number of settings required by the user before image capture. However it also highlights the
`high degree of control that you have. Many of the adjustments that would have to be performed
`Optically with a film-based system, or by changing film stock, may be achieved by the flick of a
`switch or the press of a button.
`
`Digital sensor- sizes
`One of the initial problems in producing digital cameras with comparable image quality to film
`was the difficulty and expense in manufacturing CCDs of equivalent areas. Many digital cameras
`have sensors which are significantly smaller than 35 mm format. The sizes are often expressed as
`factors, and they are based on the diagonal of a 1 in. optical image projected onto a sensor by a
`lens, which is close to 16 mm. Examples of the actual dimensions of some image sensors are
`shown in Figure 2.14, compared to typical film formats.
`
`
`APPL-1009 / Page 17 of 26
`
`APPL-1009 / Page 17 of 26
`
`

`

`Film
`35 mm
`120 mm
`
`Large format
`
`Horizontal Vertical Diagonal Aspect SensorType
`Ratio
`(mm)
`(mm)
`(mm)
`
`36.0
`60.0
`
`24.0
`60.0
`
`43.3
`84.9
`
`120.0
`
`101.6
`
`162.6
`
`3:2
`1:1
`
`5:4
`
`4:3
`4:3
`4:3
`4:3
`4:3
`4:3
`3:2
`3:2
`
`3:2
`1:1
`4:3
`4:3
`4:3
`4:3
`
`Film
`Film
`
`Film
`
`CMOS
`COD/CMOS
`COD/CMOS
`CCD/CMOS
`COD/CMOS
`COD/CMOS
`CMOS
`CCD
`
`CMOS
`Full frame CCD
`Full frame CCD
`Trilinear array CCD
`Trilinear array CCD
`Trilinear array CCD
`
`1.9
`4.0
`4.8
`5.3
`6.6
`9.6
`14.8
`15.7
`
`24.0
`36.9
`36.0
`36.9
`72.0
`84.0
`
`3.2
`6.7
`8.0
`8.9
`11.0
`16.0
`26.7
`28.4
`
`43.3
`52.2
`60.0
`61.0
`120.0
`130.6
`
` Sensor/format
`
`Digital sensors — consumer market
`1/5
`2.6
`1/2.7
`5.4
`1/2
`6.4
`1/1.8
`7.2
`2/3
`8.8
`12.8
`22.2
`23.7
`
`.8*
`1.8*
`
`1 1
`
`Digital sensors — professional market
`Full frame 35 mm
`36.0
`36.9
`Medium/large format back
`48.0
`Medium/large format back
`49.0
`Medium/large format back
`96.0
`Large format back
`100.0
`Large format back
`
`* There are a variety of different sensors labelled 1.8 and sizes vary slightly between manufacturers
`
`Dimensions of typical film formats and digital image sensors.
`
`The small sensor sizes mean that in most digital cameras the focal lengths of lenses are
`significantly shorter than in film—based systems. This has a number of implications. First of all, it
`means that in the compact market, it has been possible to make much smaller camera bodies,
`and this is the reason that miniature cameras have proliferated (it has also made the tiny
`cameras used in mobile phones a possibility, see below). As for film camera formats, a shorter
`focal length means greater depth of field. The result of this is that using a shallow depth of field
`for selective focus on a subject is much more difficult in digital photography, because more often
`than not everything in frame appears sharp. This is one of the reasons that professionals often
`prefer a full—frame sensor of the same size as the equivalent film format, because in this case the
`lens focal lengths and depth of field will be the same as for film.
`
`A further implication of the smaller sensors is that lens of focal lengths designed for film
`formats will produce a smaller angle of view when placed on a digital camera with a smaller
`sensor. This means that standard focal length lenses effectively become telephoto lenses (see
`Figure 2.15). The problem affects small-format SLRs, where lenses from the equivalent film
`format might be used, and also the larger formats when using digital backs with a smaller
`imaging area than the associated film back. It can also cause confusion when comparing the
`zoom lenses of two cameras with different—sized sensors. Effective focal length is sometimes
`quoted instead. This expresses the focal length as the same as a focal length of a lens on a film
`camera, usually 35 mm, based on an equivalent angle of view.
`
`APPL-1009 / Page 18 of 26
`
`APPL-1009 / Page 18 of 26
`
`

`

`Projected image is circular and
`covers the diagonal of the format
`t
`
`
`
`Film: 24 X 36 mm
`image area using a
`50 mm focal length
`
`lens with 135 film
`
`14 X 22 mm image
`area of a 1.8 digital
`sensor gives a smaller
`angle of view. The
`effective focal length of
`the lens becomes 80 mm
`
`Figure 2.15 Change in angle of view as a result of smaller sensor size and focal length. Manufacturers often quote 'effective focal length'
`for digital lenses, which relates the field of view of the lens to that provided by the focal length of the lens in the related film format.
`
`Digital camera equipment
`
`igital camera equipment is less easily classified by image
`format than film simply because of the huge variation in
`sensor size. Cameras can, however, be put into broad
`
`categories based upon the mar

This document is available on Docket Alarm but you must sign up to view it.


Or .

Accessing this document will incur an additional charge of $.

After purchase, you can access this document again without charge.

Accept $ Charge
throbber

Still Working On It

This document is taking longer than usual to download. This can happen if we need to contact the court directly to obtain the document and their servers are running slowly.

Give it another minute or two to complete, and then try the refresh button.

throbber

A few More Minutes ... Still Working

It can take up to 5 minutes for us to download a document if the court servers are running slowly.

Thank you for your continued patience.

This document could not be displayed.

We could not find this document within its docket. Please go back to the docket page and check the link. If that does not work, go back to the docket and refresh it to pull the newest information.

Your account does not support viewing this document.

You need a Paid Account to view this document. Click here to change your account type.

Your account does not support viewing this document.

Set your membership status to view this document.

With a Docket Alarm membership, you'll get a whole lot more, including:

  • Up-to-date information for this case.
  • Email alerts whenever there is an update.
  • Full text search for other cases.
  • Get email alerts whenever a new case matches your search.

Become a Member

One Moment Please

The filing “” is large (MB) and is being downloaded.

Please refresh this page in a few minutes to see if the filing has been downloaded. The filing will also be emailed to you when the download completes.

Your document is on its way!

If you do not receive the document in five minutes, contact support at support@docketalarm.com.

Sealed Document

We are unable to display this document, it may be under a court ordered seal.

If you have proper credentials to access the file, you may proceed directly to the court's system using your government issued username and password.


Access Government Site

We are redirecting you
to a mobile optimized page.





Document Unreadable or Corrupt

Refresh this Document
Go to the Docket

We are unable to display this document.

Refresh this Document
Go to the Docket