Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image processing apparatus is provided that includes: an obtaining unit configured to obtain a plurality of images relating to different radiation energies; and a generating unit configured to generate at least one of energy-subtraction images based on the plurality of images using a learned model, wherein the learned model is obtained using a first image obtained using a radiation and a second image obtained by improving image-quality of the first image or by adding a noise which has been artificially calculated to the first image.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.