Enhancement of JPEG coded images by adaptive spatial filtering
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
Removal of compression artifacts using projections onto convex sets and line process modeling
IEEE Transactions on Image Processing
A deblocking technique for block-transform compressed image using wavelet transform modulus maxima
IEEE Transactions on Image Processing
Postprocessing of images by filtering the unmasked coding noise
IEEE Transactions on Image Processing
Regularized total least squares approach for nonconvolutional linear inverse problems
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Projection-based spatially adaptive reconstruction of block-transform compressed images
IEEE Transactions on Image Processing
Improved image decompression for reduced transform coding artifacts
IEEE Transactions on Circuits and Systems for Video Technology
A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations
IEEE Transactions on Circuits and Systems for Video Technology
A deblocking filter with two separate modes in block-based video coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A practical projection-based postprocessing of block-coded images with fast convergence rate
IEEE Transactions on Circuits and Systems for Video Technology
Blocking-artifact reduction in block-coded images using wavelet-based subband decomposition
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive postprocessor for block encoded images
IEEE Transactions on Circuits and Systems for Video Technology
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
Improvement of the k-means clustering filtering algorithm
Pattern Recognition
JPEG Artifact Removal Using Error Distributions of Linear Coefficient Estimates
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Fast codebook search algorithm for vector quantization using sorting technique
Proceedings of the International Conference on Advances in Computing, Communication and Control
A fast k-means clustering algorithm using cluster center displacement
Pattern Recognition
Image and Vision Computing
Fast global k-means clustering using cluster membership and inequality
Pattern Recognition
Fast agglomerative clustering using information of k-nearest neighbors
Pattern Recognition
An agglomerative clustering algorithm using a dynamic k-nearest-neighbor list
Information Sciences: an International Journal
Vector quantization using global codebook technique
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters
International Journal of Information Retrieval Research
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Image compression techniques are frequently applied to reduce the network bandwidth and storage space. In the case of higher compression ratios, annoying artifacts may be generated and they degrade the perceptual quality of compressed images. This paper modified mean-removed classified vector quantization (MRCVQ) to reduce the artifacts of JPEG coded images. This algorithm consists of four phases: mean removal, encoding, decoding, and mean restoration. The mean removal phase removes the mean values of compressed image blocks. The encoding procedure needs a codebook for the encoder, which transforms a mean-removed compressed image to a set of codeword-indices. The decoding phase requires a different codebook for the decoder, which enhances a mean-removed compressed image from a set of codeword-indices. Finally, the mean values are restored in the mean restoration phase. The experimental results show that the proposed approach can remove effectively the artifacts caused by high compression and improve the perceptual quality significantly. Compared to the existing methods, our approach usually has the much better performance in terms of computing time, storage space and PSNR.