`
`
`
`Disclosure of US Patent No. 5,850,484
`x. 1014
`
`
`
`Disclosure of Application No.
`08/411,369
`x. 1016
`“These limitations significantly degrade
`text in color images because sharp edges
`are very important for reading
`efficiency.” Ex. 1016, p. 10, lines 28-
`29.
`
`“These limitations significantly degrade
`text in color images because sharp edges
`are very important for reading
`efficiency.” Ex. 1014, at 4:44—46.
`
`
`
`
`“Accordingly, the need remains for a
`computationally efficient method for
`improving the visual quality of images,
`and in particular text, in scanned
`images.” Ex. 1016, p. 11, lines 16—18.
`
`“Accordingly, the need remains for a
`computationally efficient method for
`improving the visual quality of images,
`and in particular text, in scanned
`images.” Ex. 1014, at 4:65-67.
`
`“For edge sharpening in the frequency
`domain, the full image is first
`transformed into the frequency domain
`using the Fast Fourier Transform (FFT)
`or the Discrete Fourier Transform
`
`“For edge sharpening in the frequency
`domain, the full image is first
`transformed into the fi'equency domain
`using the Fast Fourier Transform (FFT)
`or the Discrete Fourier Transform
`
`(DFT), low frequency components are
`dropped, and then the image is
`transformed back into the time domain.”
`
`(DFT), low frequency components are
`dropped, and then the image is
`transformed back into the time domain.”
`
`Ex. 1016, p. 11, lines 9—14.
`
`Ex. 1014, at 4:56—61.
`
`“The scanned image, although it can be
`any image, in the preferred embodiment
`is a printed version of the reference
`image. Thus, the variance of the scanned
`image represents the energy or
`frequency composition of the reference
`image but which is compromised by the
`inherent limitations of the scanner. The
`
`“The scanned image, although it can be
`any image, in the preferred embodiment
`is a printed version of the reference
`image. Thus, the variance of the scanned
`image represents the energy or
`frequency composition of the reference
`image but which is compromised by the
`inherent limitations of the scanner. The
`
`scaling matrix, therefore, boosts the
`frequency components that are
`compromised by the scanning process.
`
`scaling matrix, therefore, boosts the
`frequency components that are
`compromised by the scanning process.
`
`A preferred embodiment of the
`invention is described herein in the
`
`A preferred embodiment of the
`invention is described herein in the
`
`context of a color facsimile (fax)
`machine. The color fax machine
`
`context of a color facsimile (fax)
`machine. The color fax machine
`
`includes a scanner for renderin a color
`
`includes a scanner for renderin a color
`
`OLYMPUS EX. 1017 - 1/3
`
`

`

`
`
`
`
`Disclosure of US Patent No. 5,850,484
`x. 1014
`
`
`
`Disclosure of Application No.
`08/411,369
`x. 1016
`image into color source image data that
`represents the color image, a
`compression engine that compresses the
`color source image data to compressed
`image data, a means for encapsulating
`the compressed image data, and a means
`for transmitting the encapsulated data.
`The compression engine includes means
`for storing two quantization tables. The
`first quantization table is used to
`quantize the image data transformed
`using the discrete cosine transform
`(DCT). The second quantization table is
`encapsulated with the encoded
`quantized image data for use in
`decompressing the image. The second
`quantization table is related to the first
`quantization table in the manner
`described above. When used to transmit
`
`and receive color images between two
`locations, the machine transfers the
`images with higher quality than prior
`systems.” Ex. 1016, p. 9, line 24 - p. 10,
`line 15.
`
`image into color source image data that
`represents the color image, a
`compression engine that compresses the
`color source image data to compressed
`image data, a means for encapsulating
`the compressed image data, and a means
`for transmitting the encapsulated data.
`The compression engine includes means
`for storing two quantization tables. The
`first quantization table is used to
`quantize the image data transformed
`using the discrete cosine transform
`(DCT). The second quantization table is
`encapsulated with the encoded
`quantized image data for use in
`decompressing the image. The second
`quantization table is related to the first
`quantization table in the manner
`described above. When used to transmit
`
`and receive color images between two
`locations, the machine transfers the
`images with higher quality than prior
`systems.” Ex. 1014, at 5:39-63.
`
`
`
`
`“Although the compression engine
`according to the invention is
`implemented in dedicated hardware as
`described hereinabove, alternatively it
`can be implemented in software
`operating on a programmed computer
`having a microprocessor such as an Intel
`80486 or Pentium or Hewlett Packard
`
`“Although the compression engine
`according to the invention is
`implemented in dedicated hardware as
`described hereinabove, altemativer it
`can be implemented in software
`operating on a programmed computer
`having a microprocessor such as an Intel
`80486 or Pentium or Hewlett Packard
`
`PA—RISC.” Ex. 1016, p. 21, lines 18—
`22.
`
`PA—RISC.” Ex. 1014, at 10:1—6.
`
`“Although the compression engine
`according to the invention is
`implemented in dedicated hardware as
`described hereinabove, altemativel
`it
`
`“Although the compression engine
`according to the invention is
`implemented in dedicated hardware as
`described hereinabove, altemativel
`it
`
`OLYMPUS EX. 1017 - 2/3
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`

`

`
`
`
`
`Disclosure of US Patent No. 5,850,484
`x. 1014
`
`
`
`Disclosure of Application No.
`08/411,369
`x. 1016
`can be implemented in software
`operating on a programmed computer
`having a microprocessor such as an Intel
`80486 or Pentium or Hewlett Packard
`
`can be implemented in software
`operating on a programmed computer
`having a microprocessor such as an Intel
`80486 or Pentium or Hewlett Packard
`
`PA—RISC. In the latter case, the various
`
`PA—RISC. In the latter case, the various
`
`tables, whether precomputed or
`computed real-time, are stored in the
`dynamic random access memory
`(DRAM) of the computer during the
`compression and decompression
`processes and the various steps of the
`method are implemented by software
`processes or routines. In addition, there
`a numerous combinations of hardware
`
`tables, whether precomputed or
`computed real-time, are stored in the
`dynamic random access memory
`(DRAIVD of the computer during the
`compression and decompression
`processes and the various steps of the
`method are implemented by software
`processes or routines. In addition, there
`a numerous combinations of hardware
`
`and/or software that can be used to
`
`and/or software that can be used to
`
`implement compression and/or
`decompression engines according to the
`invention depending on the desired
`performance and cost. The combinations
`are too numerous to describe
`
`implement compression and/or
`decompression engines according to the
`invention depending on the desired
`performance and cost. The combinations
`are too numerous to describe
`
`individually but those skilled in the art
`could implement such combinations
`based on the description found herein.”
`Ex. 1016, . 21, line 18— . 22, line 3.
`
`individually but those skilled in the art
`could implement such combinations
`based on the description found herein.”
`Ex. 1014, at 10:1—18.
`
`
`
`
`OLYMPUS EX. 1017 - 3/3
`
`