Block classification using t-statistics and L∞ distortion measure

This paper presents a new method for block classification, at the decoding stage, in digital image and video coding. Linear filters have been used to reduce the blocking artifacts caused by the block-based transforms used in the digital video processing. However, the linear filters have been applied to every block on the image regardless of their degree of visibility. In this paper, a block classification algorithm is proposed to identify the blocks that are apparent and significantly contribute to the overall blocking artifacts so that these blocks can be filtered out to reduce the blockiness