Deringing cartoons by image analogies
ACM Transactions on Graphics (TOG)
Reduction of blocking artifacts in JPEG compressed images
Digital Signal Processing
Design a deblocking filter with three separate modes in DCT-based coding
Journal of Visual Communication and Image Representation
Study on the distribution of DCT residues and its application to R-D analysis of video coding
Journal of Visual Communication and Image Representation
Pre- and post-shift filtering for blocking removing in downsizing transcoding
IEEE Transactions on Circuits and Systems for Video Technology
Requantization transcoding for H.264/AVC video coding
Image Communication
JPEG error analysis and its applications to digital image forensics
IEEE Transactions on Information Forensics and Security
Visual quality assessment for web videos
Journal of Visual Communication and Image Representation
An efficient spatio-temporal boundary matching algorithm for video error concealment
Multimedia Tools and Applications
MPEG postprocessing system using edge signal variable filter
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Reduction of blocking artifacts in block-based compressed images
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Blocking artifacts measurement based on the human visual system
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
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A novel frequency-domain technique for image blocking artifact detection and reduction is presented. The algorithm first detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the discrete cosine transform (DCT) coefficients are modeled by a Laplacian probability function. Then, for each block affected by blocking artifacts, its DC and AC coefficients are recalculated for artifact reduction. To achieve this, a closed-form representation of the optimal correction of the DCT coefficients is produced by minimizing a novel enhanced form of the mean squared difference of slope for every frequency separately. This correction of each DCT coefficient depends on the eight neighboring coefficients in the subband-like representation of the DCT transform and is constrained by the quantization upper and lower bound. Experimental results illustrating the performance of the proposed method are presented and evaluated.