Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Vector quantization and signal compression
Vector quantization and signal compression
Nonlinear Image Filtering with Edge and Corner Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Techniques and standards for image, video, and audio coding
Techniques and standards for image, video, and audio coding
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Subband adaptive regularization method for removing blocking effect
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Coding artifact removal with multiscale postprocessing
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Bayesian image restoration using a wavelet-based subband decomposition
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
DCT-domain blind measurement of blocking artifacts in DCT-coded images
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
Blocking effect reduction of JPEG images by signal adaptive filtering
IEEE Transactions on Image Processing
A deblocking technique for block-transform compressed image using wavelet transform modulus maxima
IEEE Transactions on Image Processing
Processing JPEG-compressed images and documents
IEEE Transactions on Image Processing
Postprocessing for very low bit-rate video compression
IEEE Transactions on Image Processing
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
On the modeling of DCT and subband image data for compression
IEEE Transactions on Image Processing
A distortion measure for blocking artifacts in images based on human visual sensitivity
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
IEEE Transactions on Circuits and Systems for Video Technology
Derivation of prediction equations for blocking effect reduction
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
An optimization approach for removing blocking effects in transform coding
IEEE Transactions on Circuits and Systems for Video Technology
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A novel combined frequency and spatial domain method is presented in this paper for blockiness reduction for low bit rate compressed images. The method consists of two stages: in the first, better estimates of the reconstructed DCT coefficients are obtained based on their observed probability distribution. In the second, an efficient postprocessing scheme consisting of a region classification algorithm and a spatial adaptive filtering is applied for blockiness removal. The type of filtering is decided on the basis of an estimation of the local characteristics of the coded image. The main advantage of the proposed method is the efficient combination and design of these two stages which are acting complementarily for the reduction of blocking artifacts. This approach is shown to produce excellent results in removing blocking artifacts. The efficient performance of the proposed algorithm is due, firstly, to the proposition that the shape and the position of the filter kernel are adjusted according to the characteristics of the local image region and secondly, to the employment of the modified improved DCT coefficients by the postprocessing filter. Experimental results illustrating the performance of the proposed method are presented and evaluated.