Canon Kabushiki Kaisha

Manabu Yamazoe

Yuji Akiyama

Ryosuke Iguchi

Kentaro Yano

Takashi Fujita

Makoto Torigoe

Tetsuya Suwa

Akihiko Uekusa

Nobuo Ogura

Tohru Ikeda

Shigeru Mizoguchi

Ayumi Hori

Fumihiro Goto

Yoshihiko Iwase

Hidetsugu Kagawa

Hiroki Uchida

Ritsuya Tomita

Maya Ishii

Naoki Sumi

Okinori Tsuchiya

Masao Kato

Hideaki Mizobe

Akitoshi Yamada

Hiroshi Tajika

Mitsuhiro Ono

Shigeyasu Nagoshi

Satoshi Seki

Hiroshi Nakai

Atsuhiko Masuyama

Shinjiro Hori

Akiko Maru

Yusuke Hashii

Kosuke Yamamoto

Yasutomo Suzuki

Takayuki Suzuki

Yumi Yanai

Naohisa Suzuki

Kenichi Moriya

Yoshinori Kawai

Ayumi Sano

Shusuke Inamura

Katsuhiko Anzai

Masayuki Hongo

Riuma Takahashi

Yuta Ikeshima

Koji Nagata

A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which image quality is improved compared to the first image, using an image quality improving engine including a machine learning engine; and a display controlling unit configured to cause a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region in at least one of the first image and the second image to be displayed on a display unit.

Medical image processing apparatus, medical image processing method and computer-readable storage medium

A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which the image quality is improved compared to the first image by using an image quality improving engine that includes a machine learning engine; and a display controlling unit configured to cause a display unit to display a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region of the first image.

Medical image processing apparatus, medical image processing method and computer-readable medium

A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

An image processing apparatus includes display control means for displaying, on display means, a blend image obtained by performing blend processing at a variable transmissivity in accordance with an instruction of an operator using an optical coherence tomography (OCT) image and an OCT angiography (OCTA) image of mutually corresponding regions in a subject that are acquired by an OCT, setting means for setting a region of interest in the displayed blend image, and execution means for executing processing on the set region of interest in at least one image of the OCT image and the OCTA image.

Image processing apparatus, image processing method, and storage medium

An object of the present invention is to implement a bit pattern capable of specifying a plurality of colors while storing information on a shape. The present invention is an image processing apparatus that converts image data in a bitmap format into data including a bit pattern, the apparatus including: a creation unit configured to create, based on pixel values of pixels within an image area of a predetermined size within the image data, the bit pattern storing shape information on the image area, which specifies to which of a plurality of kinds of pixel each pixel within the image area corresponds, and color information on the image area, which specifies a number of colors in accordance with a kind of pixel specified by the shape information, and the number in accordance with a kind of pixel specified by the shape information is smaller than a total number of pixels within the image area.

Image processing method with predetermined bitmap formatting, and image processing apparatus and storage medium therewith

An image processing apparatus is capable of appropriately extracting a frame of an output target from a moving image. The image processing apparatus includes an analysis unit configured to analyze a plurality of analysis regions in each of a plurality of frames included in the moving image, an extraction unit configured to extract the frame of the output target from among the plurality of frames by comparing analysis results of the plurality of analysis regions in each of the plurality of frames analyzed by the analysis unit for each analysis regions corresponding to each other between the plurality of frames, and an output unit configured to output the frame of the output target extracted by the extraction unit.

An image processing apparatus has a first quantization configured to quantize multi-valued data corresponding to the first ink to generate the first quantized data, the multi-valued data indicating intermediate density; and a second quantization unit configured to quantize multi-valued data corresponding to the second ink to generate the second quantized data, the multi-valued data indicating intermediate density. In a case where a satellite of the first ink is more conspicuous than a satellite of the second ink on the print medium, a first dot pattern printed on the print medium based on the first quantized data has higher dispersibility than a second dot pattern printed on the print medium based on the second quantized data.

An image processing apparatus according to the present invention can specify, among a plurality of frames, a plurality of frame groups having at least one frame included between the plurality of frame groups that are extraction target candidates in an array of the plurality of frames in the moving image according to a predetermined frame interval, analyze each of the plurality of specified frame groups, and extract a frame to be output from each of the plurality of frame groups based on a result of the analysis.

Extraction of keyframes at regular intervals by finding nearby high-quality frames

An apparatus includes an extraction unit to extract a feature point in a first image. A determination unit determines a motion vector that corresponds to the feature point extracted from the first image by the extraction unit and a corresponding point that is located in a second image and that has a highest degree of similarity between image data for the feature point and image data for the corresponding point, among candidates of the corresponding point in the second image. A correction unit corrects a first motion vector determined by the determination unit by employing a second motion vector determined by the determination unit. The correction unit employs the second motion vector, in accordance with both of a first degree of similarity between the feature point and the corresponding point, and a second degree of similarity between the feature point and another candidate among the candidates.

Image processing method, image processing apparatus and non-transitory computer-readable storage medium therefor

The present invention provides an image processing apparatus which can simply and appropriately analyze an image, an image processing method, and a storage medium. The present invention reduces an original image and enlarges a reduced image obtained by the reduction. The present invention enlarges the original image. The present invention analyzes the original image by comparing a first enlarged image obtained by enlargement of the reduced image with a second enlarged image obtained by enlargement of the original image.

To improve the precision of a motion vector of a pixel included in an image by appropriately performing region division of the image. A plurality of images is obtained, any of the plurality of the obtained images is analyzed and a feature point of the image is extracted. A feature point of the image are added to the corners of the image and at least one feature point is added to any of positions on four sides formed by the feature points located at the corners of the image. Then, based on the extracted feature point and the added feature points, a motion vector of a pixel included in the image with respect to another image included in the plurality of images is determined.

Image processing apparatus, image processing method, and computer-readable recording medium

There is provided an image processing method of laying out and outputting an image of an original formed from a plurality of pages on one page, the method comprising: inputting image data of the original formed from the plurality of pages; dividing the image data input in the inputting into a plurality of blocks; discarding unnecessary information; appending necessary information to each block obtained by division in the dividing based on the predetermined rule; replacing the respective blocks obtained by division in the dividing with the block from which the unnecessary information is discarded in the discarding, and the block to which the necessary information is appended in the appending; and outputting the respective blocks which have undergone replacement in the replacing by laying out the respective blocks on one page.

Sheet music editing method and image processing apparatus

Provided is an image processing apparatus configured to preferentially extract an image with high user satisfaction when multiple images are automatically extracted from an image group. A user specifies the number of images to be extracted from the image group. The image group is classified into a first image group with high user satisfaction and a second image group with low user satisfaction. When the number of images extracted from the first image group does not reach the specified number, an image having only a dissatisfaction factor acceptable to the user is additionally extracted.

Image processing apparatus

Correction for color fog is securely achieved with limited load of processing. The RGB image data are converted into the luminance and the chromaticity values C, C, then a highlight point and a shadow point are determined and are connected to define the axis of the color solid. The color solid is rotated so as that the axis becomes parallel to the luminance axis Y and is so translated in parallel manner that the pixel of the minimum luminance coincides with the original point of the color space.

Image processing method, apparatus and memory medium therefor

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Tokyo, Japan

Manabu Yamazoe