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TCSV
2002

Blocking artifact detection and reduction in compressed data

11 years 9 months ago
Blocking artifact detection and reduction in compressed data
A novel frequency-domain technique for image blocking artifact detection and reduction is presented in this paper. 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 illustratin...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TCSV
Authors George A. Triantafyllidis, Dimitrios Tzovaras, Michael G. Strintzis
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