The scheme is mainly based on Vector Quantization, which is one of the well known lossy image compression techniques. During VQ process, we design a common ...
This paper modified mean-removed classified vector quantization (MRCVQ) to reduce the artifacts of JPEG coded images. This algorithm consists of four phases: ...
This paper extends and modifies classified vector quantization (CVQ) to improve the quality of compressed images. The process consists of two phases: the ...
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In this paper we present an intelligent system which is capable of restoring a compressed JPEG image by combining the knowledge extracted from the image domain ...
Once both codebooks are ready, then restoration of the image is applied via further classification. The images are broken into 4×4 blocks, and the mean of the ...
The mean-removed CVQ consists of four phases: mean removal, encoding, decoding, and mean restoration. The mean removal phase removes the mean values of ...
[PDF] Learning-based image restoration for compressed images - Lin Ma
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Jun 6, 2011 · In this paper, we propose a novel learning-based image restoration scheme for compressed images by suppressing compression artifacts and ...
Artifact reduction of JPEG coded images using mean-removed classified vector quantization. Image compression techniques are frequently applied to reduce the ...
Several classical image restoration techniques, includingexample, in the JPEG ... When the image is encoded with JPEG at directions ... JPEG coded images was ...
Liaw et al [12] proposes an approach in image deblocking and restoration based on. Classified Vector Quantization. In CVQ, a codebook, consisting of codewords ...