Abstract: A method and apparatus for generating an interpolated frame are provided. The method includes: generating a motion vector for generating a third frame by performing motion estimation based on first image data and second image data, the first image data being a portion of image data of a first frame and the second image data being a portion of image data of a second frame; restoring the image data of the first frame based on the first image data and the image data of the second frame based on the second image data; and generating the third frame by performing motion compensation based on at least one of the restored image data of the first frame and the restored image data of the second frame and the generated motion vector.

Abstract: A method and apparatus for enhancing and improving image quality are provided. The method includes separating an input image into at least one low frequency component and at least one high frequency component; modulating the low frequency components in a block unit by dithering; modulating the high frequency components by sampling; and combining the modulated low frequency components and the modulated high frequency components.

Abstract: Image restoration by restoring a high-frequency component of a deteriorated image. A high-frequency image information predicting and stabilizing method includes: determining a shooting area, which is a high-frequency area that includes an overly-restored high-frequency component, in an input image; predicting a high-frequency component of the input image by applying different deterioration models to the shooting area and a remaining area in the input image; and stabilizing a high-frequency component of an edge area by using an edge blur kernel determined to be parallel to an edge direction of the input image.

Abstract: Provided are an image encoding method and apparatus, and an image decoding method and apparatus. The image encoding method includes: obtaining a variation of a motion estimation error with respect to a homogeneity degree of a motion vector according to mergence, based on a motion vector of each of merged blocks obtained by merging adjacent blocks, motion vectors of the adjacent blocks included in each of the merged blocks, and motion vectors of neighboring blocks of each of the merged blocks; and determining, based on the obtained variation, a merged block having a smallest variation from among the merged blocks and whether to merge the adjacent blocks included in the determined merged block.

Abstract: A method of converting an image rate by using image scaling includes changing a resolution of an input original image sequence and generating a changed resolution image sequence; determining a first motion vector by estimating motion of a first image by using a plurality of images from the changed resolution image sequence; determining a second motion vector by modifying the first motion vector of the first image to correspond to a resolution of an original image of the original image sequence, where the original image corresponds to the first image; detecting characteristic information of the original image; determining a third motion vector corresponding to the resolution of the original image by compensating the second motion vector based on the detected characteristic information; and converting an image rate of the input original image sequence based on the detected characteristic information of the original image and the third motion vector.

Abstract: A display method and a display device for optimizing screen brightness of a mobile terminal are provided. The display method includes: determining an external illuminance value based on a sensor signal by detecting by the sensor signal for determining a brightness value of a screen; determining the brightness value of the screen corresponding to the external illuminance value; and outputting an image signal by using the brightness value of the screen.

Abstract: A method for processing image data corresponding to temporally successive motions of an object, the method including adjusting a range of a first occlusion region which is estimated according to whether position changes occur in sub-blocks forming temporally successive first and second frames among image frames which display the motions of the object, by using Motion Vectors (MVs) mapped to the sub-blocks and detecting a second occlusion region of a third frame which displays the object that moves between the first frame and the second frame, by using the adjusted range of the first occlusion region.

Abstract: Provided is a display apparatus and method. The display apparatus includes an image analyzer configured to generate information about an input image, an image classifier configured to classify the input image by using the information about the input image, and an image processor configured to generate a mapping function for outputting the input image by using the information about the input image and classification information regarding the input image, and to set a maximum brightness value of the input image to a maximum brightness value which is input to the mapping function.

Abstract: A method of estimating a quantization table for an image block compressed in image processing is provided. The method including performing a first quantization using a table dictionary that includes a number of candidate quantization tables for the compressed image block; performing edge-related filtering on the compressed image block and performing a second quantization using the table dictionary for the filtered compressed image block; and estimating a quantization table for the compressed image block based on energy costs of the first-quantized image block and the second-quantized image block.

Abstract: The present invention relates to a method and apparatus for motion estimation (ME) of a video in a video system. The method includes estimating an occlusion area by using a pattern map; removing a motion vector which corresponds to the estimated occlusion area from a motion vector field, and outputting remaining motion vectors as first candidate motion vectors; collecting motion vectors which correspond to an area of interest in the input video, detecting a representative motion vector which represents the collected motion vectors, and comparing the first candidate motion vectors with the representative motion vector removing a first candidate motion vector having a difference in a weight value from the representative motion vector which is greater than a first threshold value and outputting the remaining first candidate motion vectors as second candidate motion vectors; and performing a motion estimation operation by using the second candidate motion vectors.

Abstract: A method and apparatus for converting a resolution of a block-based image. The method includes: dividing a low resolution image frame into a plurality of blocks, each block having a predetermined size; performing motion prediction in a sub-pixel unit of each of the divided blocks and determining a motion vector in the sub-pixel unit; dividing the motion vector of the sub-pixel unit into a first motion vector having an integer pixel unit and a second motion vector having the sub-pixel unit; determining at least one low resolution reference block corresponding to each of the divided blocks by using the first motion vector having the integer pixel unit; converting each of the divided blocks into high resolution block by using the second motion vector having the sub-pixel unit and the one low resolution reference block; and generating a high resolution image frame by using each of the converted high resolution blocks.

Abstract: An apparatus and method are provided for performing detail enhancement. The apparatus includes an edge detector that detects an edge pixel from contents based on a luminance component of the contents, a histogram analyzer that generates at least one histogram with respect to the edge pixel and determines a gain variable value of the edge pixel based on the at least one histogram, and a gain regulator that determines a gain corresponding to the gain variable value of the edge pixel.

Abstract: A noise estimation apparatus and method to prevent texture from being erroneously determined as noise, is provided. To this end, the noise estimation method includes generating an initial noise map for an input image signal, generating at least one noise map based on a temporal change of an image signal continuing from the image signal, calculating a correlation value for each region between the initial noise map and the noise maps, and determining noise of an image according to a temporal change based on the correlation value.

Abstract: An apparatus and method for motion estimation apparatus in an image processing system are provided. A depth information detector detects depth information relating to an input image on the basis of a predetermined unit. An image reconfigurer separates objects included in the input image based on the detected depth information and generates an image corresponding to each of the objects. A motion estimator calculates a motion vector of an object in each of the generated images, combines the motion vectors of the objects calculated for the generated images, and outputs a combined motion vector as a final motion estimate of the input image.

Abstract: A method and apparatus for removing an image blocking artifact by using a transformation coefficient are provided. The method includes: detecting a first blocking artifact which is in a flat region of the input image; removing the first blocking artifact using a number of low frequency coefficients from among transformation coefficients for each transformation block of a plurality of transformation blocks of the input image, based on a result of detecting the first blocking artifact; detecting an edge region of the input image; and removing a second blocking artifact, which is in an edge region of an intermediate image obtained from the removing of the first blocking artifact of the input image, based on the detected edge region in the input image.

Abstract: A method and apparatus for processing a multi-view image is provided. The method includes: extracting disparity information between an image of a first point of view and an image of a second point of view; and estimating a motion between two sequential images of the first point of view or the second point of view using the extracted disparity information. The apparatus may include a processor which is configured to extract disparity information between an image of a first point of view and an image of a second point of view in the multi-view image and is further configured to estimate a motion using the extracted disparity information between two sequential images of the first point of view or the second point of view.

Abstract: A method and apparatus for reconstructing a low-resolution image is provided. The method includes magnifying a low-resolution image; extracting a high frequency component and a texture component from the pre-magnification low-resolution image; and reconstructing an image by synthesizing the extracted high frequency component and texture component with the magnified low-resolution image. The method and apparatus synthesizes only image components without a separate external DB, making it possible to enhance sharpness of the outline of images and thus effectively reconstruct fine texture components.

Abstract: A method of converting an image rate by using image scaling includes changing a resolution of an input original image sequence and generating a changed resolution image sequence; determining a first motion vector by estimating motion of a first image by using a plurality of images from the changed resolution image sequence; determining a second motion vector by modifying the first motion vector of the first image to correspond to a resolution of an original image of the original image sequence, where the original image corresponds to the first image; detecting characteristic information of the original image; determining a third motion vector corresponding to the resolution of the original image by compensating the second motion vector based on the detected characteristic information; and converting an image rate of the input original image sequence based on the detected characteristic information of the original image and the third motion vector.

Abstract: A method and apparatus for encoding an image, and a method and apparatus for decoding an image. The method of encoding an image includes: classifying pixels forming an input image into a first pixel group in which bit depth of original pixel values is maintained, and a second pixel group in which bit depth of original pixel values is changed; generating a changed input image by changing the bit depth of pixel values of pixels in the second pixel group; and performing motion prediction and compensation on the changed input image.

Abstract: An image frame interpolation method and apparatus for determining an object and a background according to a degree of similarity between corresponding areas of a first image frame and a second image frame used for interpolation in every predetermined data unit of a third image frame interpolated between the first image frame and the second image frame and interpolating an object area of the third image frame by using object areas existing in original image frames.