Abstract: An image capturing apparatus including: an image capturing device that has a plurality of pixels outputting pixel signals according to incident light, the plurality of pixels being divided into a plurality of blocks each including at least two pixels, and an exposure condition being set for each block; an image capture control unit that changes a light receiving position on the image capturing device, based on an exposure condition set for an adjacent block; and an image processing unit that synthesizes a plurality of images which are generated at a plurality of the light receiving positions.

Abstract: An image processing device includes an imaging unit generating RAW image data of a shot image and a gradation conversion unit. The imaging unit includes an imaging sensor which converts an image of a subject into an electrical signal. Then the gradation conversion unit performs gradation conversion according to a shooting condition for each of color signals based on a pixel array of the imaging sensor on the RAW image data of continuously shot images. Thus, it is possible to efficiently compress the RAW image data of continuously shot images.

Abstract: An image processing apparatus includes a selecting unit selecting a reference image from input images, a calculating unit calculating brightness ratios of the remaining input images as gains, a calculating unit calculating first weights for the remaining input images and calculating a second weight based on a brightness of image data as a synthesized image of the input image with the first weights, a generating unit generating a high-contrast image by performing weighting synthesis on the input images using the first weights and the second weight, a preparing unit preparing a tone conversion curve based on a brightness distribution of the high-contrast image and a brightness distribution as conversion target, and a generating unit performing the tone conversion on the high-contrast image based on the tone conversion curve, and generating the output image having the narrow tonal range.

Abstract: An image-processing method is characterized by including a searching operation of searching for a local motion vector from each of blocks in the plural images, an electing operation of electing a representative motion vector from the local motion vectors of the respective blocks, and an approximating operation of approximating a motion vector distribution on the images based on the representative motion vector in order to detect motion between plural images with high precision without increasing the number of blocks made by dividing an image. In addition, when an approximate surface thereof is a plane, the operation amount for approximating the motion vector distribution and the information amount for representing the motion vector distribution can be minimized.

Abstract: An image-processing method is an image-processing method for detecting motion between plural images, including a searching operation of searching for a local motion vector from each of blocks in the plural images on the basis of feature quantity of the plural images, and a calculating operation of calculating evaluation values of the local motion vector found, in which one of the evaluation values is accuracy of position adjustment which is obtained when the search source block of said local motion vector is position-adjusted on a trial basis by using the local motion vector in order to provide an image-processing method, an image-processing program, an image-processing apparatus, and an imaging apparatus which can properly evaluate local motion vectors which are found by searching blocks of images upon detecting motion of plural images.

Abstract: An image processing device includes an imaging unit generating RAW image data of a shot image and a gradation conversion unit. The imaging unit includes an imaging sensor which converts an image of a subject into an electrical signal. Then the gradation conversion unit performs gradation conversion according to a shooting condition for each of color signals based on a pixel array of the imaging sensor on the RAW image data of continuously shot images. Thus, it is possible to efficiently compress the RAW image data of continuously shot images.

Abstract: An image processing method of finding a motion vector between an original image and a reference image, including dividing the original image to extract a block, searching for a similar region of the block from the reference image to detect a motion vector of the block, further dividing the block from which the motion vector has been detected to extract a lower block, and searching for a similar region to detect a motion vector of the lower block with a range in the vicinity of the motion vector found from the block before division as a start point. Thus, the method is characterized by reflecting a tree structure data of the motion vector obtained in this manner in the subsequent detection of motion vector.

Abstract: An image processing synthesizing a plurality of pieces of images photographing an identical scene and having different exposure amounts to generate a high-contrast image expanding a dynamic range and having a wide tonal range, includes a selecting unit selecting a reference image based on information of brightness components of the pieces of images, a gain calculating unit calculating brightness ratios of remaining images among the pieces of images to the reference images excluding the reference image as gains based on the information of the brightness components of the pieces of images, a weight calculating unit calculating weights to be applied to the remaining images based on the gains and information of a brightness component of the reference image, and a generating unit performing weighting synthesis between the reference image and the remaining images by using the weights, to obtain a high-contrast image with fine image quality.

Abstract: An image processing device includes: a saturated area extraction unit that extracts a saturated area corresponding to a saturated pixel from an image expressed by a color component signal of a predetermined color system corresponding to a pixel; a color information acquisition unit that acquires color information from a color component signal corresponding to a pixel contained in an area in contact with the saturated area of the image; and a color component signal modification unit that modifies a color component signal of a pixel in the saturated area so that color information on the saturated pixel contained in the saturated area approaches the color information acquired by the color information acquisition unit.

Abstract: A proposition is to perform a detection of a position shift amount between images which are anteroposterior in a chronological order with high accuracy. Therefore, in an image processing apparatus, a unit A performs a geometric transformation on a pixel group ? in an image 1 using an input position shift amount as a parameter, and calculates a gain based on a luminance difference between the pixel group ? in the image 1 being performed the transformation and pixels in an image 2 existing at an identical coordinate as the pixel group ?. Besides a unit B multiplies an input gain to the image 2 and calculates a position shift amount between the image 1 and the image 2. A detecting unit executes the unit A and the unit B for at least one time or more.

Abstract: To provide a technique to obtain a synthesized image with an expanded dynamic range with ease and a technique to reduce workload of a user while maintaining the degree of freedom relating to image processing. There provides an image inputting part taking in at least one of a plurality of low-resolution images and a high-resolution image obtained by shooting the same subject while changing exposure condition, a shift detecting part detecting a positional shift of pictorial pattern between each of the plurality of low-resolution images and the high-resolution image, and a gradation expanding part generating a synthesized image in which a range of reproduced gradation is expanded by performing position alignment between each of the plurality of low-resolution images and the high-resolution image based on the positional shift, extracting a gradation information of the plurality of low-resolution images, and synthesizing it with the high-resolution image.

Abstract: The image processing device of the present invention is provided with an image input section, a position discrepancy detecting section, and an image composition section. The image input section reads a plurality of low resolution images imaging a same object, and at least one high resolution image imaging a same object. The position discrepancy detecting section detects position discrepancy of patterns between respective low resolution images and the high resolution image. The image composition section positions and composes patterns of the plurality of low resolution images based on the position discrepancy.

Abstract: To provide a technique to obtain a synthesized image with an expanded dynamic range with ease and a technique to reduce workload of a user while maintaining the degree of freedom relating to image processing. There provides an image inputting part taking in at least one of a plurality of low-resolution images and a high-resolution image obtained by shooting the same subject while changing exposure condition, a shift detecting part detecting a positional shift of pictorial pattern between each of the plurality of low-resolution images and the high-resolution image, and a gradation expanding part generating a synthesized image in which a range of reproduced gradation is expanded by performing position alignment between each of the plurality of low-resolution images and the high-resolution image based on the positional shift, extracting a gradation information of the plurality of low-resolution images, and synthesizing it with the high-resolution image.

Abstract: An image processing apparatus includes a selecting unit selecting a reference image from input images, a calculating unit calculating brightness ratios of the remaining input images as gains, a calculating unit calculating first weights for the remaining input images and calculating a second weight based on a brightness of image data as a synthesized image of the input image with the first weights, a generating unit generating a high-contrast image by performing weighting synthesis on the input images using the first weights and the second weight, a preparing unit preparing a tone conversion curve based on a brightness distribution of the high-contrast image and a brightness distribution as conversion target, and a generating unit performing the tone conversion on the high-contrast image based on the tone conversion curve, and generating the output image having the narrow tonal range.

Abstract: An image processing synthesizing a plurality of pieces of images photographing an identical scene and having different exposure amounts to generate a high-contrast image expanding a dynamic range and having a wide tonal range, includes a selecting unit selecting a reference image based on information of brightness components of the pieces of images, a gain calculating unit calculating brightness ratios of remaining images among the pieces of images to the reference images excluding the reference image as gains based on the information of the brightness components of the pieces of images, a weight calculating unit calculating weights to be applied to the remaining images based on the gains and information of a brightness component of the reference image, and a generating unit performing weighting synthesis between the reference image and the remaining images by using the weights, to obtain a high-contrast image with fine image quality.

Abstract: A proposition is to perform a detection of a position shift amount between images which are anteroposterior in a chronological order with high accuracy. Therefore, in an image processing apparatus, a unit A performs a geometric transformation on a pixel group ? in an image 1 using an input position shift amount as a parameter, and calculates a gain based on a luminance difference between the pixel group ? in the image 1 being performed the transformation and pixels in an image 2 existing at an identical coordinate as the pixel group ?. Besides a unit B multiplies an input gain to the image 2 and calculates a position shift amount between the image 1 and the image 2. A detecting unit executes the unit A and the unit B for at least one time or more.

Abstract: An image-processing method is an image-processing method for detecting motion between plural images, including a searching operation of searching for a local motion vector from each of blocks in the plural images on the basis of feature quantity of the plural images, and a calculating operation of calculating evaluation values of the local motion vector found, in which one of the evaluation values is accuracy of position adjustment which is obtained when the search source block of said local motion vector is position-adjusted on a trial basis by using the local motion vector in order to provide an image-processing method, an image-processing program, an image-processing apparatus, and an imaging apparatus which can properly evaluate local motion vectors which are found by searching blocks of images upon detecting motion of plural images.

Abstract: To provide a technique to obtain a synthesized image with an expanded dynamic range with ease and a technique to reduce workload of a user while maintaining the degree of freedom relating to image processing. There provides an image inputting part taking in at least one of a plurality of low-resolution images and a high-resolution image obtained by shooting the same subject while changing exposure condition, a shift detecting part detecting a positional shift of pictorial pattern between each of the plurality of low-resolution images and the high-resolution image, and a gradation expanding part generating a synthesized image in which a range of reproduced gradation is expanded by performing position alignment between each of the plurality of low-resolution images and the high-resolution image based on the positional shift, extracting a gradation information of the plurality of low-resolution images, and synthesizing it with the high-resolution image.

Abstract: The image processing device of the present invention is provided with an image input section, a position discrepancy detecting section, and an image composition section. The image input section reads a plurality of low resolution images imaging a same object, and at least one high resolution image imaging a same object. The position discrepancy detecting section detects position discrepancy of patterns between respective low resolution images and the high resolution image. The image composition section positions and composes patterns of the plurality of low resolution images based on the position discrepancy.

Abstract: An image processing method of finding a motion vector between an original image and a reference image, including dividing the original image to extract a block, searching for a similar region of the block from the reference image to detect a motion vector of the block, further dividing the block from which the motion vector has been detected to extract a lower block, and searching for a similar region to detect a motion vector of the lower block with a range in the vicinity of the motion vector found from the block before division as a start point. Thus, the method is characterized by reflecting a tree structure data of the motion vector obtained in this manner in the subsequent detection of motion vector.