Title :
A modified three level Block Truncation Coding for image compression
Author :
Anil, D. ; Karthik, K.V. ; Kumar, K. Sudhir
Author_Institution :
Dept of ECE, NIT Warangal, Warangal, India
Abstract :
Block Truncation Coding (BTC) is a lossy data compression technique used for compression of images. BTC is a simple and fast image compression algorithm with less computational complexity than former schemes proposed. In this paper we propose a modified three-level BTC with an improved compression factor. Experimental results show that the suggested image compression methodology yields an image with better quality, low bit rate and lower computational complexity than the conventional three-level BTC.
Keywords :
block codes; computational complexity; data compression; image coding; block truncation coding; computational complexity; image compression; lossy data compression; Bit rate; Computational complexity; Decoding; Image coding; Marine vehicles; PSNR; Pixel; AMBTC; Block Truncation Coding; Image Compression; MSE; PSNR; bit plane; bit rate;
Conference_Titel :
Pattern Analysis and Intelligent Robotics (ICPAIR), 2011 International Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-61284-407-7
DOI :
10.1109/ICPAIR.2011.5976907
