Block Truncation Coding using Enhanced Interpolations and Lookup Procedures for Image Compression

Block Truncation Coding is one of the easy and efficient techniques for lossy image compression. In this paper, we have proposed few methods to enhance the existing Interpolative and Lookup procedures to reduce the bitrate and to improve the PSNR obtained with the Block Truncation Coding (BTC) based image compression methods. Of the existing BTC based methods, we have implemented the Minimum Mean Square Error (MMSE) method which gives better PSNR (quality of the reconstructed images) value to generate the bitplane and statistical moments. The size of the bitplane is reduced using Interpolation and Lookup procedures with noticeable degradation in PSNR value. This degradation is minimized using the proposed methods. Hence the proposed methods give less bitrate and better PSNR, when compared to the existing methods. General Terms Image Compression, Block Truncation Coding, Interpolative Techniques and Lookup Procedure.