Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint

@article{Zhai2008EfficientDW,
  title={Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint},
  author={Guangtao Zhai and Wenjun Zhang and Xiaokang Yang and Weisi Lin and Yi Xu},
  journal={IEEE Transactions on Multimedia},
  year={2008},
  volume={10},
  pages={735-745}
}
We propose an effective deblocking scheme with extremely low computational complexity. The algorithm involves three parts: local ac coefficient regularization (ACR) of shifted blocks in the discrete cosine transform (DCT) domain, block-wise shape adaptive filtering (BSAF) in the spatial domain, and quantization constraint (QC) in the DCT domain. The DCT domain ACR suppresses the grid noise (blockiness) in monotone areas. The spatial-domain BSAF alleviates the staircase noise along the edge, and… CONTINUE READING
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