Title :
Block Truncation Coding Using a Set of Predefined Bit Planes
Author :
Amarunnishad, T.M. ; Govindan, V.K. ; Mathew, Abraham T.
Abstract :
A simple and easy to implement method to improve the block truncation coding (BTC) is proposed for image compression. A set of predefined bit planes is defined independently of the images to be encoded. The bit rate is considerably reduced by encoding the index of the predefined bit planes using Huffman encoding. Experimental results show that at lower bit rate the proposed method provides acceptable visual quality reconstructed images. Keywords: Image compression; Block truncation coding; Bit rate; Peak signal to noise ratio
Keywords :
Application software; Bit rate; Computational intelligence; Digital images; Image coding; Image quality; Image reconstruction; Image storage; PSNR; Quantization;
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
DOI :
10.1109/ICCIMA.2007.239