Abstract:
The present technique relates to an image processing device, an image processing method, a program, and a recording medium that enable more accurate block noise correction without degradation of image quality.A motion predicting unit detects, from a criteria image and a reference image, the motion vector of each of blocks constituting an image. A motion compensating unit generates a motion-compensated image by performing motion compensation on the reference image, using the motion vectors. A correction value calculating unit calculates a correction value for correcting the pixel value of a current pixel in a current block in the motion-compensated image based on a boundary difference value between the criteria image and the motion-compensated image, the boundary difference value being a difference value with respect to the pixel value of a boundary pixel in a boundary portion adjacent to an adjacent block in the current block. An adding unit adds the correction value to the pixel value of the current pixel in the motion-compensated image. The present technique can be applied to image processing devices.
Abstract:
An image processing apparatus includes a motion estimation processing section that detects a motion vector of block units which configure an image from a standard image and a reference image; a motion compensation processing section that produces a motion compensation image by performing motion compensation of the reference image using the motion vector; a difference calculation section that calculates a difference value between pixel values of a pixels of the standard image and pixel values of pixels of the motion compensation image; and a threshold value processing section that determines whether block noise is contained in the motion compensation image of a block unit or not by performing a threshold value processing on the difference value.
Abstract:
There is provided an image processing apparatus including a local-motion-compensation-processing unit which generates a local-motion-compensation image by detecting a local motion vector, which is a motion vector for each block forming an image, from a standard image and a reference image, and performing motion compensation on the reference image using the local motion vector, a global-motion-compensation-processing unit which generates a global-motion-compensation image by calculating a global motion vector, which is a motion vector for an entire image between the standard image and the reference image, using the local motion vector, and performing motion compensation on the reference image using the global motion vector, and a blend processing unit which generates a blend-motion-compensation image by combining a pixel value of a pixel in the local-motion-compensation image and a pixel value of a pixel in the global-motion-compensation image based on a noise intensity for a luminance value of an image.
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:
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 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. The addition determination unit includes a first motion region detection unit calculating a motion region determination value, a second motion region detection unit calculating a motion region determination value, a control map generation unit selecting and outputting one of two motion region determination values, a noise determination table generation unit generating or correcting a noise determination table, and an addition determination processing execution unit determining the addition weight.
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 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. The addition determination unit includes a first motion region detection unit calculating a motion region determination value, a second motion region detection unit calculating a motion region determination value, a control map generation unit selecting and outputting one of two motion region determination values, a noise determination table generation unit generating or correcting a noise determination table, and an addition determination processing execution unit determining the addition weight.