Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blocking effect reduction of JPEG images by signal adaptive filtering
IEEE Transactions on Image Processing
Projection-based spatially adaptive reconstruction of block-transform compressed images
IEEE Transactions on Image Processing
Reduction of blocking artifact in block-coded images using wavelet transform
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
Blocking artifact detection and reduction in compressed data
IEEE Transactions on Circuits and Systems for Video Technology
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We proposed the algorithm for the quantization noise reduction based on variable filter adaptive to edge signal in MPEG postprocessing system. In our algorithm, edge map and local modulus maxima in the decoded images are obtained by using 2D Mallat wavelet filter. And then, blocking artifacts in inter-block are reduced by Gaussian LPF that is variable to filtering region according to edge map. Ringing artifacts in intra-block are reduced by 2D SAF according to local modulus maxima. Experimental results show that the proposed algorithm was superior to the conventional algorithms as regards PSNR, which was improved by 0.04-0.20 dB, and the subjective image quality.