A new approach for real-time reduction of blocking effect

A new, non-iterative post-processing approach is proposed for real-time reduction of blocking effects. The proposed approach has the merits of being fully compatible with the JPEG standard and requiring no additional transmission overhead. This is achieved by training feed-forward single-layer neural networks to restore classified block boundaries of JPEG-encoded images. Classification is based on the intensity distribution of the pixels on either sides of the block boundaries. This approach can be easily implemented and simulation results demonstrate the superiority of the proposed approach in terms of signal-to-noise ratio improvement and processing time as compared with various well-known post-processing approaches.