Abstract:
An image processing apparatus and method are provided. The image processing apparatus includes a blur kernel estimator and an image restorer. The blur kernel estimator is configured to estimate a blur kernel of a first image using the first image and a second image, wherein the first image includes multi-channel color image data and the second image includes single-channel image data and is obtained with a shorter exposure time than the first image. The image restorer is configured to generate a blurred image of the second image using the blur kernel, and restore an image using residual images between images for respective channels of the first image and the blurred image of the second image, the second image, and the blur kernel.
Abstract:
Provided are an apparatus and method of obtaining a high-quality image by efficiently processing an image obtained at low-light levels. The image obtaining apparatus comprises a sensor which detects a pixel array value by using a color filter including color pixels for obtaining a color image and a reference pixel for obtaining a reference image used for hand-trembling function estimation; an exposure controller which controls exposure times of the color pixels and the reference pixel; and an image generator which generates a long-exposure color image signal and a short-exposure reference image signal from the detected pixel array value, the long-exposure color image signal and the short-exposure reference image signal being aligned with each other. Accordingly, accurate estimation of the hand-trembling function is possible, thereby enabling the high-quality color image restoration.
Abstract:
An image processing apparatus and method using a three-dimensional (3D) image format are provided. According to an embodiment, the 3D image format may be configured to generate a mono video, a stereo video, and a multiview video, so that various images may be outputted through various displays without changing an existing an infrastructure.
Abstract:
Provided is an image processing apparatus. In the case of a multi-view image, the image processing apparatus may warp a color image and/or a depth image of a reference view to correspond to a target view. An occlusion region may be extracted by comparing the warped color image and/or depth image of the reference view with a color image and/or a depth image of the target view. The image processing apparatus may encode the extracted occlusion region information without loss, and decrease an amount of data in the multi-view image.
Abstract:
A depth image may be compressed and transmitted after being sampled to have less information before being coded, as opposed to a conventional scheme of compressing an original depth image. An uncompressed depth image of a non-transmitted depth image may be restored by sampling based on color information associated with a decoded color image and depth information associated with a decoded depth image. Thus, compression may be improved.
Abstract:
Provided is an image processing apparatus, method and computer-readable medium. When encoding a multi-view color and depth video, a motion vector calculator of the image processing apparatus may calculate a block motion vector with respect to a first viewpoint color image. A motion vector borrowing unit may borrow, as a block motion vector with respect to a second viewpoint color image, a block motion vector with respect to the first viewpoint color image based on a disparity calculated from a depth video.
Abstract:
Provided are an image encoding and decoding apparatus and method, which can effectively transmit a large capacity image. The image encoding apparatus generates a plurality of actual images with respect to an input image, and generates a difference image capable of predicting another actual image using one actual image, thereby effectively reducing an amount of data before encoding the input image.
Abstract:
An apparatus and method for reducing noise in a high definition image are provided. When performing wavelet shrinkage for reducing noise, a signal level of an image may be estimated by adjusting a kernel size, and a noise level of the image may be estimated using a noise level function. After the signal level and the noise level are estimated, the noise may be removed or reduced, based on the signal level and the noise level, and the detail of the image may be maintained.
Abstract:
Provided are an apparatus and method of obtaining a high-quality image by efficiently processing an image obtained at low-light levels. The image obtaining apparatus comprises a sensor which detects a pixel array value by using a color filter including color pixels for obtaining a color image and a reference pixel for obtaining a reference image used for hand-trembling function estimation; an exposure controller which controls exposure times of the color pixels and the reference pixel; and an image generator which generates a long-exposure color image signal and a short-exposure reference image signal from the detected pixel array value, the long-exposure color image signal and the short-exposure reference image signal being aligned with each other. Accordingly, accurate estimation of the hand-trembling function is possible, thereby enabling the high-quality color image restoration.