Perceptually Deblocking Filtering Algorithm in Multiview Video Decoding

The deblocking filtering for multiview video coding plays a major role in improving the image visual quality, but it has high computation complexity. This paper proposes a perceptual deblocking filtering algorithm based on just noticeable distortion model. By properly considering of the human visual characteristic, a perceptual deblocking filtering decision is integrated into the deblocking process to decrease computational complexity of the deblocking filtering. Experimental results show that the proposed deblocking filtering algorithm can achieve decoding time saving significantly with negligible quality degradation.