![]() ![]() The first one is based on the CLS formulation and a successive approximations iteration is utilized for obtaining the solution. Two solutions are developed for the removal of blocking artifacts in still images. For example, in the problem of removing the blocking artifacts is formulated as a recovery problem, according to which an estimate of the blocking artifact-free original image is estimated by utilizing the available quantized data, knowledge about the quantizer step size, and prior knowledge about the smoothness of the original image.Ī deterministic formulation of the problem is followed in. A number of techniques have been developed for removing such blocking artifacts for both still images and video. As a result of this processing, annoying blocking artifacts result, primarily at high compression ratios. The Discrete Cosine Transform (DCT) of such blocks (representing either the image intensity when dealing with still images or intracoding of video blocks or frames, or the displaced frame difference when dealing with intercoding of video blocks or frames) is taken and the resulting DCT coefficients are quantized. More specifically, in the majority of existing image and video compression algorithms the image (or frame in an image sequence) is divided into square blocks which are processed independently from each other. The problem of removing compression artifacts addresses the recovery of information lost due to the quantization of parameters during compression. Chun-JenTsai, in The Essential Guide to Image Processing, 2009 15.6.4.1 Removal of Compression Artifacts ![]()
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