Image Compression based on Block Truncation Coding Using Clifford Algebra

The Block Truncation Coding (BTC) is one of the lossy image compression algorithm in which first and second order moments are preserved in each image block. The present work investigates image compression based on Absolute Moment Block Truncation Coding (AMBTC) and Clifford Algebra. Here we develop a technique to express a positive integer as a sum of largest perfect square of positive integer. The largest square is computed from the given integer, and then the same process is repeated from the residual part of the integer successively. The proposed method gives very good performance in terms of PSNR values when compared to the conventional BTC and AMBTC. To assess image quality some parametric measures bring into service such as: Peak Signal to Noise Ratio (PSNR), Weighted Peak Signal to Noise Ratio (WPSNR), Bit Rate (BR), and Structural SIMilarity Index (SSIM). The comparative result shows that proposed algorithm is the better than BTC and AMBTC.