Fast vector quantization for ODBTC image reconstruction

A simple approach on improving the quality of Ordered Dither Block Truncation Coding (ODBTC) decoded image is proposed in this paper. In this approach, the ODBTC decoded image is regarded as noisy-image in which the occurrence of impulsive noise needs to be suppressed. For the impulsive noise reduction, the proposed method exploits the Vector Quantization (VQ) for subtituting the ODBTC decoded image with the image patch of clean image codebooks. Herein, the fast VQ is employed to further reduce the computational time compared to that of the classical VQ approach. The experimental results exhibit the image quality improvement of the ODBTC decoded image with the proposed post processing image reconstruction.