Abstract: An image processing apparatus and method is provided and includes one or more processors and one or more memory devices that store instructions. When the instructions are executed by the one or more processors, the one or more processors are configured to perform operations including obtaining a first image which is obtained by capturing based on a first shooting parameter, generating, by image processing on the first image, a second image corresponding to a second shooting parameter which is different from the first shooting parameter and using at least the generated second image as a training image for a model that is used in noise estimation processing for an input image.

Abstract: An apparatus is provided that configures one or more processors to obtain a plurality of photos, group the plurality of photos into groups and identify one or more photos as candidates to remove from among the plurality of photos wherein at least one group has two or more photos that are not the candidates to remove. A control operation is performed to display on a display a screen representing, for each group, one or more photos that are candidates to remove and one or more photos that are not the candidates to remove in distinguishable from each other. In certain embodiments, the grouping is performed based on a similarity and capture time of each photo being analyzed and, in some instances, two or more photos are grouped into a same group when the photos are captured in a consecutive capture mode.

Abstract: An image processing apparatus and method is provided and includes one or more processors; and one or more memories storing instructions that, when executed by the one or more processors, cause the apparatus to receive an input image, determine a position of an estimation area for sharpness estimation based on first information related to a first determination item and not based on second information related to a second determination item if the input image satisfies the first determination item from among a plurality of determination items; determine the position of the estimation area for sharpness estimation based on the second information related to the second determination item if the input image does not satisfy the first determination item and satisfies the second determination item among the plurality of determination items; perform sharpness estimation processing on the determined estimation area; and output a result of the sharpness estimation processing.

Abstract: An apparatus for evaluating an image is provided and includes one or more processors, and one or more memories storing instructions that, when executed by the one or more processors configure the apparatus to perform operations including receiving an input image, determining whether an exposure value corresponding to an input image is to be evaluated based on information obtained by the input image, and evaluating the exposure value corresponding to the input image according to the determined result.

Abstract: An apparatus for evaluating an image is provided and includes one or more processors, and one or more memories storing instructions that, when executed by the one or more processors configure the apparatus to perform operations including receiving an input image, determining whether an exposure value corresponding to an input image is to be evaluated based on information obtained by the input image, and evaluating the exposure value corresponding to the input image according to the determined result.

Abstract: An image processing apparatus and method is provided and includes one or more processors; and one or more memories storing instructions that, when executed by the one or more processors, cause the apparatus to receive an input image, determine a position of an estimation area for sharpness estimation based on first information related to a first determination item and not based on second information related to a second determination item if the input image satisfies the first determination item from among a plurality of determination items; determine the position of the estimation area for sharpness estimation based on the second information related to the second determination item if the input image does not satisfy the first determination item and satisfies the second determination item among the plurality of determination items; perform sharpness estimation processing on the determined estimation area; and output a result of the sharpness estimation processing.

Abstract: An image processing apparatus and method is provided and includes one or more processors and one or more memory devices that store instructions. When the instructions are executed by the one or more processors, the one or more processors are configured to perform operations including obtaining a first image which is obtained by capturing based on a first shooting parameter, generating, by image processing on the first image, a second image corresponding to a second shooting parameter which is different from the first shooting parameter and using at least the generated second image as a training image for a model that is used in noise estimation processing for an input image.

Abstract: An image processing apparatus which captures a group of combining frames different in exposures and generates one frame by combining frames includes an image capturing unit configured to capture four frames including a proper frame every other frame and an under frame in one frame and an over frame in a remaining one frame therebetween as a combining frame group, a development unit configured to develop each frame in the combining frame group, a combining unit configured to select at least one frame in the combining frame group to combine based on the developed combining frame group, and a processing unit configured to apply an effect based on the combined combining frame.

Abstract: An image processing apparatus capable of obtaining a sufficient HDR effect while keeping smoothness of an appearance of a video image in an HDR composition process. A first computation unit finds a first composition ratio of frames of images that are continuously taken at mutually different exposures based on luminance of at least one of the frames of images. A second computation unit finds a second composition ratio of the frames of images based on the luminance difference between the frames of images. A third computation unit finds a third composition ratio as a final composition ratio for compositing the frames of images based on the first composition ratio, the second composition ratio, and shutter speed at a time of taking the frames of images. A composition unit generates one frame of an image by compositing the frames of images based on the third composition ratio.

Abstract: An image processing apparatus includes generating means for generating image data, transmitting means for transmitting predetermined image data to an external device, the predetermined image data being generated by performing a predetermined process for pixel range conversion on the image data, and control means for performing control such that predetermined data relating to the predetermined image data generated by the predetermined process and the predetermined image data are transmitted to the external device.

Abstract: An image processing apparatus includes generating means for generating image data, transmitting means for transmitting predetermined image data to an external device, the predetermined image data being generated by performing a predetermined process for pixel range conversion on the image data, and control means for performing control such that predetermined data relating to the predetermined image data generated by the predetermined process and the predetermined image data are transmitted to the external device.

Abstract: An image processing apparatus capable of obtaining a sufficient HDR effect while keeping smoothness of an appearance of a video image in an HDR composition process. A first computation unit finds a first composition ratio of frames of images that are continuously taken at mutually different exposures based on luminance of at least one of the frames of images. A second computation unit finds a second composition ratio of the frames of images based on the luminance difference between the frames of images. A third computation unit finds a third composition ratio as a final composition ratio for compositing the frames of images based on the first composition ratio, the second composition ratio, and shutter speed at a time of taking the frames of images. A composition unit generates one frame of an image by compositing the frames of images based on the third composition ratio.

Abstract: In an image capture apparatus and a method of controlling the apparatus which can apply image correction processing which influences the contrast of a shot image, image quality degradation of an image shot by using input-output characteristics where an output value logarithmically increases with a linear increase in input value is suppressed. When using input-output characteristics where an output value logarithmically increases with a linear increase in input value (S101), internal functional blocks are controlled to invalidate image correction functions which influence the tone characteristics or contrast of an image (S103).

Abstract: The image quality degradation of a moving image due to repeated application of color space conversion processing is suppressed. An image capture apparatus which supplies moving image signals to a plurality of output destinations decides the contents of color space conversion processing before and after color processing so as to minimize the number of times of color conversion processing required to match with the color spaces required by output destinations to which priority should be given.

Abstract: In an image processing apparatus, information indicating a degree of correlation between a current frame and a previous frame is computed based on a pixel value in the current frame before being subjected to the recursive noise reduction and a pixel value in the previous frame after being subjected to the recursive noise reduction. Then, a recursive coefficient, which is a weight of the previous frame, is determined based on the degree of correlation and a frame rate of the moving image. The recursive noise reduction is applied to the current frame by combining the pixels in the previous frame and the current frame using the recursive coefficient. For the same degree of the correlation, the recursive coefficient is determined to be smaller as the frame rate is lower. Noise reduction in accordance with the image frame rate is achieved.

Abstract: An image processing apparatus includes generating means for generating image data, transmitting means for transmitting predetermined image data to an external device, the predetermined image data being generated by performing a predetermined process for pixel range conversion on the image data, and control means for performing control such that predetermined data relating to the predetermined image data generated by the predetermined process and the predetermined image data are transmitted to the external device.

Abstract: The image quality degradation of a moving image due to repeated application of color space conversion processing is suppressed. An image capture apparatus which supplies moving image signals to a plurality of output destinations decides the contents of color space conversion processing before and after color processing so as to minimize the number of times of color conversion processing required to match with the color spaces required by output destinations to which priority should be given.

Abstract: In an image capture apparatus and a method of controlling the apparatus which can apply image correction processing which influences the contrast of a shot image, image quality degradation of an image shot by using input-output characteristics where an output value logarithmically increases with a linear increase in input value is suppressed. When using input-output characteristics where an output value logarithmically increases with a linear increase in input value (S101), internal functional blocks are controlled to invalidate image correction functions which influence the tone characteristics or contrast of an image (S103).

Abstract: A transmitting apparatus includes a generating unit that generates image data, a storing unit that stores a file including image data generated by the generation unit in a storage medium in response to a recording instruction, a transmitting unit that transmits image data to a receiving apparatus, and a control unit that performs a process for transmitting, to the receiving apparatus, data for identifying a file relating to image data to be transmitted to the receiving apparatus.

Abstract: In an image processing apparatus, information indicating a degree of correlation between a current frame and a previous frame is computed based on a pixel value in the current frame before being subjected to the recursive noise reduction and a pixel value in the previous frame after being subjected to the recursive noise reduction. Then, a recursive coefficient, which is a weight of the previous frame, is determined based on the degree of correlation and a frame rate of the moving image. The recursive noise reduction is applied to the current frame by combining the pixels in the previous frame and the current frame using the recursive coefficient. For the same degree of the correlation, the recursive coefficient is determined to be smaller as the frame rate is lower. Noise reduction in accordance with the image frame rate is achieved.