In this paper, an efficient adaptive de-blocking algorithm is proposed to reduce blocking artifacts. Blocking artifacts are modeled as step functions and then the image blocks are divided into three categories: smooth blocks, texture blocks and edge blocks. For smooth blocks, the expression of amplitude of blocking artifacts is educed firstly in our algorithm, and then the adaptive smooth filter according to the amplitude of blocking artifacts and the smooth degree function is proposed to reduce blocking artifacts. For the texture blocks and edge blocks, the Sigma filter is used to smooth the block boundaries. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithfully.
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- An Efficient Adaptive De-blocking Algorithm
- Springer Berlin Heidelberg