Ratio‐modified block truncation coding algorithms for reduced bitrates

Abstract

Block truncation coding (BTC) technique is a simple and fast image compression algorithm since complicated transforms are not used. The principle used in BTC algorithm is to use two-level quantiser that adapts to local properties of the image while preserving the first-or first-and second-order statistical moments. The parameters transmitter or stored in the BTC algorithm are statistical moments and bitplane yielding good quality images at a bitrate of 2 bits per pixel (bpp). In this paper, two algorithms for modified BTC (MBTC) are proposed for reducing the bitrate below 2 bpp. The principal used in the proposed algorithms is to use the ratio of moments which is a smaller value when compared to absolute moments. The ratio values are then entropy coded. The bitplane is also coded to remove the correlation among the bits. The proposed algorithms are compared with MBTC and the algorithms obtained by combining JPEG standard with MBTC in terms of bitrate, peak signal-to-noise ratio (PSNR) and subjective quality. It is found that the reconstructed images obtained using the proposed algorithms yield better results.

Multi-Level Coding Efficiency with Improved Quality for Image Compression based on AMBTC

“…Choi and Ko devised a novel DPCM-BTC [8]. Natarajan and Rao proposed two modified BTC algorithms by using the ratio of moments [9]. In BTC, input image is divided into small blocks of size 4 x 4 pixels.…”