Title :
Block truncation coding with entropy coding
Author :
Franti, P. ; Nevalainen, O.
Author_Institution :
Dept. of Comput. Sci., Turku Univ., Finland
Abstract :
Block truncation coding (BTC) is a simple and fast image compression algorithm which achieves a constant bit rate of 2.0 bits per pixel. The method is however suboptimal. We propose a modification of BTC in which the compression ratio is improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme. The results compare favorable with other BTC variants. The bit rate for test image Lena is 1.53 bits per pixel with a mean square error of 16.51.<>
Keywords :
adaptive signal processing; arithmetic codes; block codes; data compression; entropy codes; image coding; quantisation (signal); BTC; adaptive modelling; arithmetic coding; bit plane coding; block truncation coding; compression ratio; constant bit rate; entropy coding; image compression algorithm; mean square error; quantization data coding; test image; Arithmetic; Bit rate; Entropy coding; Image coding; Mean square error methods; Pixel; Quantization; Testing;
Journal_Title :
Communications, IEEE Transactions on
