Digital Pictures: Representation, Compression, and Standards
Digital Pictures: Representation, Compression, and Standards
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
No-reference image quality assessment based on DCT domain statistics
Signal Processing
Reconstructing videos from multiple compressed copies
IEEE Transactions on Circuits and Systems for Video Technology
Processing JPEG-compressed images and documents
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
Removing the blocking artifacts of block-based DCT compressed images
IEEE Transactions on Image Processing
Linear, Worst-Case Estimators for Denoising Quantization Noise in Transform Coded Images
IEEE Transactions on Image Processing
Projection-based spatially adaptive reconstruction of block-transform compressed images
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Multiframe blocking-artifact reduction for transform-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation
IEEE Transactions on Circuits and Systems for Video Technology
A deblocking method for BDCT compressed images based on adaptive projections
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Block artifact reduction using a transform-domain Markov random field model
IEEE Transactions on Circuits and Systems for Video Technology
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Increasingly, we can obtain more than one compressed copy of the same video content with different levels of visual quality over the Internet. As the original source video is not always available, how to choose or derive a video of the best quality from these copies becomes a challenging and interesting problem. In this paper, we address this new research problem by blindly enhancing the quality of the video reconstructed from such multiple compressed copies. The aim is to reconstruct a video that achieves a better quality than any of the available copies. Specifically, we propose to reconstruct each coefficient of the video in the transform domain by using a narrow quantization constraint set derived from the multiple compressed copies together, using a Laplacian or Cauchy distribution model for each AC transform coefficient to minimize the distortion. Analytical and experimental results show the effectiveness of the proposed method.