`Disclosure of Application No.
`Disclosure of US Patent No. 5,850,484
`08/411,369
`(Ex. 1016
`x. 1014
`“These limitations significantly degrade
`“These limitations significantly degrade
`text in color images because sharp edges
`text in color images because sharp edges
`are very important for reading
`are very important for reading
`efficiency.” Ex. 1016, p. 10, lines 28-
`efficiency.” Ex. 1014, at 4:44-46.
`29.
`
`includesa scanner for rendering a color
`
`A preferred embodimentofthe
`invention is describedherein in the
`context of a color facsimile (fax)
`machine. The color fax machine
`includes a scanner for rendering a color
`
`A preferred embodimentof the
`invention is described herein in the
`context of a color facsimile (fax)
`machine. The color fax machine
`
`OLYMPUS EX.1017 - 1/3
`
`“Accordingly, the need remainsfor a
`computationally efficient method for
`improvingthe visual quality of images,
`andin particular text, in scanned
`images.” Ex. 1016, p. 11, lines 16-18.
`
`“Accordingly, the need remains for a
`computationally efficient method for
`improvingthe visual quality of images,
`andin particular text, in scanned
`images.” Ex. 1014, at 4:65-67.
`
`“For edge sharpening in the frequency
`domain, the full imageis first
`transformedinto the frequency domain
`using the Fast Fourier Transform (FFT)
`or the Discrete Fourier Transform
`(DFT), low frequency components are
`dropped, and then the imageis
`transformedback into the time domain.”
`Ex. 1016, p. 11, lines 9-14.
`
`“For edge sharpening in the frequency
`domain, the full imageis first
`transformedinto the frequency domain
`using the Fast Fourier Transform (FFT)
`or the Discrete Fourier Transform
`(DFT), low frequency components are
`dropped, and then the image is
`transformedback into the time domain.”
`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
`imagerepresents the energy or
`frequency composition of the reference
`imagebut which is compromisedby the
`inherentlimitations of the scanner. The
`scaling matrix, therefore, boosts the
`frequency componentsthat are
`compromisedby the scanning process.
`
`“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
`imagerepresents the energy or
`frequency composition of the reference
`imagebut which is compromisedby the
`inherentlimitations of the scanner. The
`scaling matrix, therefore, boosts the
`frequency componentsthat are
`compromised by the scanning process.
`
`OLYMPUS EX. 1017 - 1/3
`
`
`
`
`
`Disclosure of US Patent No. 5,850,484
`x. 1014
`imageinto 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. Whenusedto transmit
`and receive color images between two
`locations, the machinetransfers 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 hardwareas
`described hereinabove,alternatively it
`can be implemented in software
`operating on a programmed computer
`having a microprocessorsuchas an Intel
`80486 or Pentium or Hewlett Packard
`PA-RISC.” Ex. 1014, at 10:1-6.
`
`described hereinabove,alternatively it
`
`Disclosure of Application No.
`08/411,369
`(Ex. 1016
`imageinto 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
`quantizationtable is related to the first
`quantization table in the manner
`described above. Whenused to transmit
`and receive color images between two
`locations, the machinetransfers the
`images with higher quality than prior
`systems.” Ex. 1016, p. 9, line 24 - p. 10,
`line 15.
`“Although the compression engine
`according to the inventionis
`implementedin dedicated hardware as
`described hereinabove,alternativelyit
`can be implemented in software
`operating on a programmed computer
`having a microprocessorsuchas an Intel
`80486 or Pentium or Hewlett Packard
`PA-RISC.” Ex. 1016, p. 21, lines 18—
`22.
`“Although the compression engine
`according to the invention is
`implementedin dedicated hardware as
`described hereinabove, alternatively it
`
`“Although the compression engine
`according to the invention 1s
`implemented in dedicated hardware as
`
`OLYMPUS EX.1017 - 2/3
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`OLYMPUS EX. 1017 - 2/3
`
`
`
`
`
`Ex. 1014, at 10:1-18.
`
`Disclosure of Application No.
`08/411,369
`(Ex. 1016
`can be implemented in software
`operating on a programmed computer
`having a microprocessorsuchasan Intel
`80486 or Pentium or Hewlett Packard
`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
`processesandthe varioussteps ofthe
`method are implemented by software
`processesor routines. In addition, there
`a numerous combinations of hardware
`and/or software that can be used to
`implement compression and/or
`decompression engines according to the
`invention depending on the desired
`performanceand cost. The combinations
`are too numerousto describe
`individually but those skilled in the art
`could implement such combinations
`based on the description found herein.”
`Ex. 1016, p. 21, line 18 — p. 22,line 3.
`
`Disclosure of US Patent No. 5,850,484
`x. 1014
`can be implementedin software
`operating on a programmed computer
`having a microprocessorsuchasanIntel
`80486 or Pentium or Hewlett Packard
`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 varioussteps of the
`methodare implemented by software
`processesor routines. In addition, there
`a numerous combinations of hardware
`and/or software that can be usedto
`implement compression and/or
`decompression engines according to the
`invention depending on the desired
`performanceand cost. The combinations
`are too numerousto describe
`individually but those skilled in the art
`could implement such combinations
`based on the description found herein.”
`
`OLYMPUS EX.1017 - 3/3
`
`OLYMPUS EX. 1017 - 3/3
`
`