Patents by Inventor Tetsuya Suwa

Tetsuya Suwa has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10764469
    Abstract: An image processing apparatus includes an obtaining unit to obtain image data and a dynamic range conversion unit to convert an input luminance signal included in the image data into an output luminance signal for an image printing apparatus by using a conversion parameter. A dynamic range of luminance of the converted image data is narrower than that of the unconverted image data before the dynamic range conversion. When the input luminance signal indicates an input black reference luminance value, the output luminance signal indicates an output black reference luminance value, and, when the input luminance signal indicates a predetermined reference input luminance value, the output luminance signal indicates a reference output luminance value, the reference output luminance value being a value calculated based on the predetermined reference input luminance value and the output black reference luminance value for observing a print product to be printed by the printing apparatus.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: September 1, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Tetsuya Suwa, Hidetsugu Kagawa, Satoshi Wada, Kei Yoshizawa
  • Publication number: 20200272374
    Abstract: An image processing apparatus is an apparatus for displaying an image corresponding to a printed product observed in a predetermined observation environment on a monitor. An image obtaining unit obtains an HDR image. A lighting luminance obtaining unit obtains a lighting luminance in the predetermined observation environment. A monitor luminance changing unit changes a luminance of the monitor according to the lighting luminance. A preview image generating unit converts the HDR image according to the lighting luminance. A preview image outputting unit outputs converted image data to the monitor having the luminance thereof changed.
    Type: Application
    Filed: February 12, 2020
    Publication date: August 27, 2020
    Inventors: Yoshinori Kawai, Tetsuya Suwa, Hidetsugu Kagawa
  • Publication number: 20200274985
    Abstract: Disclosed is an image processing apparatus including: a derivation unit configured to derive a target luminance characteristic based on a viewing condition of an image and a print luminance characteristic predicted based a reflection characteristic corresponding to data thereon; a unit configured to generate print image data on an image by converting input image data by using a tone conversion characteristic that is set based on these characteristics, in which the derivation unit derives, in a case where a reproduction range of an illumination intensity in the print luminance characteristic is different, the target luminance characteristic so that a liner area of an output luminance in a case where the reproduction range is relatively large becomes large.
    Type: Application
    Filed: May 12, 2020
    Publication date: August 27, 2020
    Inventors: Tomokazu Yanai, Hisashi Ishikawa, Satoshi Wada, Takeshi Yazawa, Tetsuya Suwa, Hidetsugu Kagawa
  • Publication number: 20200265564
    Abstract: An image processing apparatus, comprising: a division unit configured to divide first image data having a first dynamic range into a plurality of regions; an obtaining unit configured to obtain distance information indicating a distance from a focal plane in each of the plurality of regions; a determining unit configured to determine a conversion characteristic of each of the plurality of regions based on the distance information; a conversion unit configured to convert each of the plurality of regions into second image data having a second dynamic range smaller than the first dynamic range by using the conversion characteristic determined by the determining unit; and a storage unit configured to store a first conversion characteristic and a second conversion characteristic that can be used for the conversion.
    Type: Application
    Filed: February 13, 2020
    Publication date: August 20, 2020
    Inventor: Tetsuya Suwa
  • Patent number: 10726539
    Abstract: An image processing apparatus having a generation unit configured to generate an aligned image by arranging a plurality of candidate images extracted from a reference image around a work inspection image extracted from an inspection target image; a unit configured to subject the aligned image to similar region extraction processing to represent a similarity between regions in the aligned image; a determination unit configured to select a candidate image and determine it as a work reference image based on the aligned image after being subjected to the similar region extraction processing; and a comparison unit to compare the work inspection image with the work reference image. The similar region extraction processing subjects each of a plurality of division regions obtained by dividing the aligned image based on predetermined division size and phase, to averaging processing, and then adds the results of the averaging processing that are obtained by varying at least one of the division size and phase.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: July 28, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Shinjiro Hori, Tetsuya Suwa, Tomokazu Ishikawa, Wakako Tanaka
  • Patent number: 10715192
    Abstract: A signal processing apparatus includes a unit configured to generate noise cut data by deducting a predetermined noise value from values of respective signals constituting input data and a stochastic resonance processing unit configured to subject the noise cut data to a predetermined stochastic resonance processing. The predetermined stochastic resonance processing is processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the noise cut data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: July 14, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Tetsuya Suwa, Tomokazu Ishikawa, Wakako Tanaka, Shinjiro Hori
  • Patent number: 10699400
    Abstract: An image processing apparatus acquires a work inspection image by image-taking one inspection object, acquires a work reference image that is different from the work inspection image, generates an aligned image by arranging the work reference image at the periphery of the work inspection image and subjects the aligned image to singular portion detection processing to detect a singular portion in the aligned image. The singular portion detection processing is performed on a first work inspection image obtained by image-taking a first inspection object, subsequently the singular portion detection processing is performed on a second work inspection image obtained by image-taking, after the first inspection object, a second inspection object, and subsequently the singular portion detection processing is performed on a third work inspection image obtained by image-taking, after the second inspection object, a third inspection object.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: June 30, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Shinjiro Hori, Tohru Ikeda, Tetsuya Suwa, Tomokazu Ishikawa, Wakako Tanaka
  • Patent number: 10679329
    Abstract: A signal processing apparatus includes an acquisition unit that acquires input data and detection target data, a noise strength setting unit that sets a noise strength K used to a predetermined stochastic resonance processing and a stochastic resonance processing unit that performs the predetermined stochastic resonance processing and outputs processed data. The predetermined stochastic resonance processing is a processing based on a formula in which processed data J(x) is represented by I(x), the noise strength K and the threshold value T and the processed data J(x) corresponds to a result in a case where M is infinite in the following formula, J ? ( x ) = 1 M ? ? m = 1 M ? j ? ( x , m ) . The noise strength setting unit sets the noise strength based on a function of a correlation coefficient between the result of the predetermined stochastic resonance processing and the detection target data and the noise strength K.
    Type: Grant
    Filed: March 14, 2017
    Date of Patent: June 9, 2020
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Wakako Tanaka, Shinjiro Hori, Tetsuya Suwa, Tomokazu Ishikawa
  • Patent number: 10582087
    Abstract: An image processing apparatus for converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range obtains information of sizes of the first range and the second range, divides the first image based on the information such that the number of areas obtained by dividing the first image when a ratio of the second range to the first range is a first value becomes smaller than that when the ratio is smaller than the first value, sets, for each of the areas, relationship information that associates input brightness values in the first range with output brightness values in the second range, and converts brightness values of pixels included in the first image into brightness values of pixels of the second image based on the relationship information.
    Type: Grant
    Filed: June 21, 2019
    Date of Patent: March 3, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Shuhei Ogawa, Tetsuya Suwa, Hidetsugu Kagawa, Maya Yazawa
  • Patent number: 10572977
    Abstract: An image processing apparatus a processor that acquires reading image data, composed of a plurality of pixel signals, and executes stochastic resonance processing, in which each of the plurality of pixel signals is added to noise and is subjected to a binary processing, and a plurality of results, obtained by performing the noise addition and the binary processing on the plurality of pixel signals in parallel, are synthesized. With regard to a pixel signal as a processing target among the plurality of pixel signals, at least one of a strength of the noise and a threshold value used for the binary processing is set based on a pixel signal of the input image data corresponding to the pixel signal. In addition, the processor outputs the result of the stochastic resonance processing.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: February 25, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Tomokazu Ishikawa, Wakako Tanaka, Tetsuya Suwa, Shinjiro Hori
  • Patent number: 10546191
    Abstract: Parameters are set according to features of a unique portion appearing in a print image, ensuring that the unique portion can be efficiently determined in the print image. In order to do so, information about a form of appearance of the unique portion in the print image is acquired, and the parameters are set in accordance with the form of the appearance.
    Type: Grant
    Filed: June 23, 2016
    Date of Patent: January 28, 2020
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Wakako Tanaka, Tohru Ikeda, Shinjiro Hori, Tetsuya Suwa, Hidetsugu Kagawa, Yumi Yanai, Tomokazu Ishikawa
  • Publication number: 20200013150
    Abstract: An image processing apparatus sets, for at least one portion of a first image in which a brightness range is a first range, relationship information which associates an input brightness value with an output brightness value, changes, based on the relationship information, brightness values of pixels in the portion, and outputs a second image which has a second range of brightness. The relationship information is generated so as to associate, with each of the brightness values of the pixels in the portion, an output brightness value which does not exceed a value higher than the brightness value by a predetermined value, and to associate, with a brightness value which is not less than a feature amount among the brightness values of the pixels in the portion, a predetermined output brightness value falling within a predetermined range.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 9, 2020
    Inventors: Hidetsugu Kagawa, Tetsuya Suwa, Maya Yazawa, Shuhei Ogawa
  • Publication number: 20200013149
    Abstract: An image processing apparatus is provided with an input unit for inputting an image; a division unit for dividing the inputted image into a plurality of divided regions; an obtaining unit for obtaining a feature amount of the image for each of the divided regions; a generation unit for generating a compression curve for each divided region; and a compression unit for generating an output image by performing compression of a dynamic range using the compression curve for each of the divided regions, wherein the generation unit generates the compression curve for each of the divided regions so that a slope of the compression curve for each of the divided regions matches in a range from a luminance of a dark region of the image to a luminance of a predetermined brightness.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 9, 2020
    Inventors: Maya Yazawa, Tetsuya Suwa, Hidetsugu Kagawa, Shuhei Ogawa
  • Publication number: 20200007695
    Abstract: An image processing apparatus comprises: an obtaining unit that obtains a luminance of an input image having a color reproduction range wider than that of a printing apparatus; a conversion unit that performs, for the input image, conversion processing of obtaining a value included in the color reproduction range of the printing apparatus and obtaining the luminance of the image after the conversion; and a correction unit that corrects the luminance of the input image, wherein the correction unit performs correction of the luminance of the input image based on a conversion characteristic between the obtained luminance and the obtained luminance such that an intensity of the correction becomes higher for a color that is not included in the color reproduction range of the printing apparatus than for a color included in the color reproduction range of the printing apparatus.
    Type: Application
    Filed: June 18, 2019
    Publication date: January 2, 2020
    Inventors: Hidetsugu Kagawa, Shuhei Ogawa, Maya Yazawa, Kouta Murasawa, Tetsuya Suwa
  • Publication number: 20200007712
    Abstract: An image processing apparatus for converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range obtains information of sizes of the first range and the second range, divides the first image based on the information such that the number of areas obtained by dividing the first image when a ratio of the second range to the first range is a first value becomes smaller than that when the ratio is smaller than the first value, sets, for each of the areas, relationship information that associates input brightness values in the first range with output brightness values in the second range, and converts brightness values of pixels included in the first image into brightness values of pixels of the second image based on the relationship information.
    Type: Application
    Filed: June 21, 2019
    Publication date: January 2, 2020
    Inventors: Shuhei Ogawa, Tetsuya Suwa, Hidetsugu Kagawa, Maya Yazawa
  • Publication number: 20200007717
    Abstract: An image processing apparatus comprises: an obtaining unit configured to obtain a dynamic range of a captured image on captured image data; a determination unit configured to determine a dynamic range of a printed product when viewed obtained by printing the captured image based on the captured image data, based on printing information on viewing of the printed product; and a conversion unit configured to perform conversion processing for luminance of the captured image data to the dynamic range determined by the determination unit from the dynamic range obtained by the obtaining unit.
    Type: Application
    Filed: June 24, 2019
    Publication date: January 2, 2020
    Inventors: Tetsuya Suwa, Hidetsugu Kagawa, Shuhei Ogawa, Maya Yazawa
  • Publication number: 20200007734
    Abstract: An image processing apparatus divides a first image into a plurality of areas based on obtained image data of the first image and sets relationship information between input brightness values with output brightness values for each of the plurality of areas, and converts, based on the relationship information, a brightness value of pixels included in the first image into a brightness value of pixels of a second image whose brightness range is narrower than that of the first image. In the conversion, the apparatus sets, for at least some pixels of the first image, a size of a window for specifying pixels within a predetermined area including the pixels based on environment information in which the second image is observed, and calculates a brightness value in the second image for each of the at least some pixels based on the window.
    Type: Application
    Filed: June 20, 2019
    Publication date: January 2, 2020
    Inventors: Hidetsugu Kagawa, Shuhei Ogawa, Tetsuya Suwa, Maya Yazawa
  • Publication number: 20190364171
    Abstract: An image processing apparatus has a dynamic range compression unit that converts an input luminance signal included in a developed data into an output luminance signal by using a conversion parameter. The unit obtains an input black reference luminance value and an input white reference luminance value of the luminance information included in the developed data. The unit, on a basis of print medium information and observation environment information, obtains an output black reference luminance value and an output white reference luminance value and calculates a reference output luminance value for observation. The unit generates a conversion line and generates the conversion parameter by using the conversion line. The conversion line indicating a correspondence between the input luminance signal and the output luminance signal.
    Type: Application
    Filed: May 21, 2019
    Publication date: November 28, 2019
    Inventors: Tetsuya Suwa, Hidetsugu Kagawa, Satoshi Wada, Kei Yoshizawa
  • Patent number: 10089732
    Abstract: An image processing apparatus for detecting a singular point from image data having a plurality of pixel signals arranged in a two-dimensional manner, having a stochastic resonance processing unit configured to perform parallel steps in each of which a noise is added to and the result is subjected to binarization processing, synthesize the results of the parallel steps and output the result, with regard to each of the plurality of pixel signals; and a unit configured to detect the singular point based on the output signal value from the stochastic resonance processing unit for each of the plurality of pixel signals. The stochastic resonance processing unit performs the binarization processing on a pixel as a processing target among the plurality of pixel signals based on the pixel signal of the pixel as the processing target and a pixel signal of a pixel adjacent to the pixel as the processing target in a predetermined direction.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: October 2, 2018
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Tomokazu Ishikawa, Wakako Tanaka, Tetsuya Suwa, Shinjiro Hori
  • Patent number: 10055640
    Abstract: An apparatus extracts feature information from an object of image data. The apparatus registers the extracted feature information in a dictionary. The apparatus refers to the dictionary and determines a similarity between feature information registered in the dictionary and the extracted feature information. The apparatus does not use, of feature information to be registered in the dictionary, feature information not satisfying a predetermined evaluation criterion in similarity determination.
    Type: Grant
    Filed: November 30, 2016
    Date of Patent: August 21, 2018
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Takashi Nakamura, Hiroyasu Kunieda, Tetsuya Suwa, Takashi Fujita, Kiyoshi Umeda, Yusuke Hashii, Hiroyuki Sakai, Naoki Sumi