Quality Enhancement of DDBTC Decoded Image

Abstract

This paper presents two methods for improving the quality of Dot Diffused Block Truncation Coding (DDBTC) decoded image. The first method exploits the usability and effectiveness of decimated Discrete Wavelet Transform and stationary Wavelet Transform for reducing the half-toning artifact. While, the second method employs the Vector Quantization (VQ) approach for performing the image patch replacement and suppressing the unpleasant artifact of DDBTC decoded image. As documented in Experimental Section, these two methods performs well for improving the quality of DDBTC decoded image.