A DCT-based spatially adaptive post-processing technique to reduce the blocking artifacts in transform coded images

We propose a discrete cosine transform (DCT)-based post-processing technique to alleviate the blocking artifacts in transform coded images. In our approach, the high-frequency components, mainly caused by the edge components, are examined through two steps. First, two adjacent homogeneous blocks from the block boundary are found, where the homogeneous block is defined as the block in which no adjacent pixels´ difference is larger than the difference of the block boundary. Second, the local frequency characteristics in the homogeneous block are examined through the DCT. Then, we derive the relation between the DCT coefficients of two homogeneous blocks of different sizes. By considering the information about the original edge and the relation, we can detect the high-frequency components, mainly caused by the blocking artifact. The performance of the proposed technique is evaluated on both still and moving images. The simulation results indicate that the proposed technique reduces the blocking artifacts effectively and preserves the original edges faithfully, and its performance is very robust to the degree of degradation in the decoded images