Title :
Using Wavelet Transform, DPCM and Adaptive Run-length Coding to Compress Images
Author_Institution :
Al-Nahrain Univ., Baghdad
Abstract :
This research work aims to investigate the performance of a suggested wavelet based image compression system. The scheme of the proposed system utilizes 9/7 biorthogonal wavelet transforms to decompose the image signal, then uses run-length coding, with a little modification, to compress the detail sub-bands. A hierarchal quantization scheme was applied to reduce the number of bits required to encode the wavelet coefficients. The test results indicate that the proposed compression scheme shows good performance aspects in addition to its simplicity.
Keywords :
data compression; image coding; quantisation (signal); wavelet transforms; adaptive run-length coding; data compression; digital image compression; hierarchal quantization; image signal decomposition; wavelet coefficient; wavelet transform; Data compression; Discrete cosine transforms; Discrete wavelet transforms; Entropy; Filter bank; Image coding; Low pass filters; Transform coding; Vector quantization; Wavelet transforms; data compression; digital image compression; run-length coding.; wavelet;
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7695-2894-5
DOI :
10.1109/CISIM.2007.74