Deringing cartoons by image analogies
ACM Transactions on Graphics (TOG)
Adaptive fuzzy filtering for artifact reduction in compressed images and videos
IEEE Transactions on Image Processing
No-reference analysis of decoded MPEG images for PSNR estimation and post-processing
Journal of Visual Communication and Image Representation
Video enhancement from multiple compressed copies in transform domain
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
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A major drawback of block-based still-image or video-compression methods at low rates is the visible block boundaries that are also known as blocking artifacts. Several methods have been proposed in the literature to reduce these artifacts. Most are single image methods, which do not distinguish between video and still images. However, video has a temporal dimension that can lead to better reconstruction if utilized effectively. We show how to combine information from multiple frames to reduce blocking artifacts. We derive constraint sets using motion between neighboring frames and quantization information that is available in the video bit stream. These multiframe constraint sets can be used to reduce blocking artifacts in an alternating-projections scheme. They can also be included in existing set-theoretic algorithms to improve their performance by narrowing down the feasibility set. Experimental results show the effectiveness of using these multiframe constraint sets