Abstract: An image processing apparatus includes a superimposition processing unit that performs a blending process for a plurality of continuously captured images, wherein the superimposition processing unit is configured to selectively input luminance signal information of a RAW image or a full color image as a processing target image and perform a superimposition process, and performs a process for sequentially updating data that is stored in a memory for storing two image frames so as to enable superimposition of any desired number of images.

Abstract: Disclosed herein is an image processing apparatus including an up-sampling section configured to carry out up-sampling processing in order to generate an up-sampled image, a motion-compensated image generation section configured to generate a motion-compensated image as a result of correction processing to adjust a referenced image having the second resolution to a photographing-object position on the up-sampled image by making use of information on a difference between the up-sampled image and the referenced image, a blending processing section configured to generate a blended image as a result of blending processing to blend the up-sampled image with the referenced image, and an output-image generation section configured to receive and process the blended image as well as the up-sampled image in order to generate an output blended image obtained by blending a super-resolution processing-result image with a noise-reduction processing-result image.

Abstract: An image processing device includes: an upsampling section; a motion compensated image generating section; a blend processing section; and an output image generating section.

Abstract: An image processing apparatus includes: a motion prediction processing unit detecting an inter-image motion between a standard image and a reference image; a motion compensation processing unit generating a motion-compensated image by moving the reference image so as to be aligned with the standard image in a pixel position; an addition processing unit generating a noise-reduced image from which noise of the standard image is reduced; and an addition determination unit calculating an addition weight of the motion-compensated image.

Abstract: An information processing device includes a bit conversion unit that performs reduction in a bit number allocated to a pixel for a criterion image and a reference image and generates a criterion image and a reference image which are hierarchized according to a bit number allocated to a pixel, and a motion vector detection unit that performs coarse detection of a motion vector by block matching using the criterion image and the reference image of which a bit number is reduced, decides a search range for fine detection of a motion vector based on the motion vector detected by the coarse detection, and performs fine detection of a motion vector using an image in the search range which belongs to a hierarchy equal to or more than an image used in the coarse detection in a bit number allocated to a pixel.

Abstract: An image processing apparatus includes a motion prediction processor configured to detect a motion vector that indicates inter-image motion between a current image and a reference image; a motion compensation processor configured to perform a motion compensation process for the reference image by using the motion vector and generate a motion compensated image; an addition processor configured to generate a noise reduced image in which noise of the current image is reduced by adding the current image and the motion compensated image; an addition determination unit configured to compute an addition weight in units of pixels of the motion compensated image; a down-sampling processor configured to perform a process for reducing the current image and the motion compensated image; and an up-sampling processor configured to perform a process for expanding an addition coefficient map that is an output of the addition determination unit.

Abstract: An image processing apparatus includes: a section that detects a local motion vector for each block forming an image from a standard image and a reference image; a section that executes motion compensation on the reference image employing the local motion vector to generate a local motion-compensated image; a section that calculates a single global motion vector for the entire standard image and the entire reference image employing the local motion vector and that executes motion compensation on the reference image employing the global motion vector to generate a global motion-compensated image; and a section that calculates respective reliabilities of the local motion-compensated image and the global motion-compensated image in units of image regions and that executes a process to synthesize pixel values of the local motion-compensated image and pixel values of the global motion-compensated image in accordance with the reliabilities to generate a blended motion-compensated image.

Abstract: An image processing device, which includes: super-resolution processing executing section which inputs a low-resolution image and a super-resolution image and generates a difference image which represents a difference between the input images; and an adding section which adds the difference image and the super-resolution image, wherein super-resolution processing executing section includes a motion vector detecting section which detects a object-based motion vector which represents a motion between images of an object commonly included in the low-resolution image and the super-resolution image on an object basis, and generates the difference image using a motion-compensated image generated by applying the detected object-based motion vector to each object area.