Color image compression based on block truncation coding using clifford algebra

Abstract

Block Truncation Coding (BTC) is one of the most moment preserving (arithmetic mean and standard deviation) methods for compressing an image. Absolute Moment Block Truncation Coding (AMBTC) is an improved version of BTC, preserves only arithmetic mean. The present work deals with image compression based on Absolute Moment Block Truncation Coding (AMBTC) and Clifford Algebra for color images. A color image is divided into three distinct planes, Red (R), Green (G) and Blue (B) and the proposed method applied on these three planes separately. Each element of pixel is represented into a sum of largest perfect square of positive integers. Experimental results of proposed method give satisfactory result in terms of different parameters such as Peak Signal to Noise Ratio (PSNR), Bit Rate (BR), and Structural SIMilarity Index (SSIM).