Coding of Bit-Plane Resolution Layers of Greyscale Images based on JBIG Standard

A.M. Abushaala and Y. Iano (Brazil)

Keywords

JBIG Standard, Arithmetic Coding, Greyscale Coding, Lossless Compression.

Abstract

The Adaptive Binary Arithmetic Coding (ABAC) is one of the lossless data compression and decompression techniques. It is used for encoding an input data string, which is mapped into a real number x between “0” and “1”. The code string is obtained at the last division produced from the encoding process. The lossless ABAC encoder is different from other entropy encoders, Huffman for example, in the code generating process. The Joint Bi-level Image Experts Group (JBIG) standard adopted it. The JBIG defines a compression method for bi-level images (images consisting of a single bit-plane). The 10th order of Markov model is used for each pixel that is being encoded, while its model template of three-line is used to compute an integer value (context). In this work, the ABAC is implemented for a greyscale images based on JBIG standard. The input image is divided into bit-planes. Each of which is divided into D resolution layers. Computer software of ABAC and its model is used to encode the lowest resolution layer of each bit-plane. The obtained results presented an excellent compression in sequential mode.

Important Links:



Go Back


IASTED
Rotating Call For Paper Image