Abstract:
An encoding and/or decoding system, medium, and method with spatial prediction and spatial prediction compensation. The system may include a spatial prediction unit that spatially predicts pixel values of a current block of an image using neighboring blocks in a row immediately above the current block among neighboring blocks that are spatially adjacent to the current block. The spatial prediction unit performs spatial prediction using replaced pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit, with the pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit being replaced with a predetermined reference value.
Abstract:
An encoding and/or decoding system, medium, and method with spatial prediction and spatial prediction compensation. The system may include a spatial prediction unit that spatially predicts pixel values of a current block of an image using neighboring blocks in a row immediately above the current block among neighboring blocks that are spatially adjacent to the current block. The spatial prediction unit performs spatial prediction using replaced pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit, with the pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit being replaced with a predetermined reference value.
Abstract:
A method, medium, and system effectively compressing and/or restoring binary images. By compressing pixel values making up a 2×2 block in an input image, using representative values representing the pixel values and a pattern of the pixel values represented by the representative values, it is possible to effectively compress and/or restore binary images having little similarities between pixel values. In addition, by extracting compressed values and a pattern of pixel values making up a 2×2 block in an image, from compressed data of the 2×2 block, and restoring pixel values using the compressed values and the pattern, it is possible to effectively restore binary images.
Abstract:
Provided are an apparatus and method for effectively compressing and restoring edge areas in an image. Therefore, by predicting values of pixels positioned at each directional edge, among pixels constructing a 2×2 block in a current image, using values of neighbor pixels of the pixels positioned at each directional edge, selecting an edge mode corresponding to a directional edge in which the difference between the predicted values and actual values of the pixels is a minimum, and outputting edge mode data indicating the edge mode instead of the predicted values corresponding to the edge mode, it is possible to effectively compress edge areas in which little similarity exists between pixel values, and accordingly improve a compression rate of edge areas.
Abstract:
A method, medium, and system compressing and/or reconstructing image data. The data compression method includes compressing current data according to a plurality of modes for compressing current data, determining whether the current data compressed according to the plurality of modes can be represented by a fixed length of bits, selecting a mode from among modes in which the compressed current data can be represented by the fixed length of bits, and outputting the compressed current data according to the selected mode. Accordingly, it is possible to significantly lower the complexity of an image encoder/decoder system, and exactly meet a picture-based Control Bit Rate (CBR) suitable for a Liquid Crystal Display Dynamic Capacitance Compensation (LCD DCC) device/system.
Abstract:
A motion estimation method, medium, and system with fast motion estimation. The motion estimation method includes comparing a cost indicating a difference between a current block of a current image and a block of a reference image specified by a starting point with a predetermined threshold and selectively searching for the best matching block of the current block from the starting point according to the comparison result.
Abstract:
A system, medium, and method compressing and/or restoring images. Such a data compression method may include selecting a mode from among a plurality of modes for compressing current data, according to predetermined criteria, and calculating a difference between the current data and reference data, according to the selected mode, and compressing the current data, or truncating a part of the current data and compressing the current data. Accordingly, it is possible to significantly lower the complexity of an image encoder/decoder system and exactly meet a picture-based CBR required by LCD DCC devices/systems.
Abstract:
A method, medium, and system effectively compressing and/or restoring binary images. By compressing pixel values making up a 2×2 block in an input image, using representative values representing the pixel values and a pattern of the pixel values represented by the representative values, it is possible to effectively compress and/or restore binary images having little similarities between pixel values. In addition, by extracting compressed values and a pattern of pixel values making up a 2×2 block in an image, from compressed data of the 2×2 block, and restoring pixel values using the compressed values and the pattern, it is possible to effectively restore binary images.
Abstract:
Provided are an apparatus and method for effectively compressing and restoring edge areas in an image. Therefore, by predicting values of pixels positioned at each directional edge, among pixels constructing a 2×2 block in a current image, using values of neighbor pixels of the pixels positioned at each directional edge, selecting an edge mode corresponding to a directional edge in which the difference between the predicted values and actual values of the pixels is a minimum, and outputting edge mode data indicating the edge mode instead of the predicted values corresponding to the edge mode, it is possible to effectively compress edge areas in which little similarity exists between pixel values, and accordingly improve a compression rate of edge areas.
Abstract:
A system, medium, and method compressing and/or restoring images. Such a data compression method may include selecting a mode from among a plurality of modes for compressing current data, according to predetermined criteria, and calculating a difference between the current data and reference data, according to the selected mode, and compressing the current data, or truncating a part of the current data and compressing the current data. Accordingly, it is possible to significantly lower the complexity of an image encoder/decoder system and exactly meet a picture-based CBR required by LCD DCC devices/systems.