Title :
Image compression using wavelets
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
This paper briefly introduces the theory behind the wavelet transform and overviews the implementation of a wavelet image compressor. Emphasis is placed on the implementation and efficiency of a system, rather than the intriguing mathematical details. Both quantitative and subjective evaluations were performed on images compressed with the wavelet compressor, and comparisons were made with images compressed with JPEG compression. It is concluded that wavelet compression is a better choice over JPEG compression, especially when very high compression ratios are required
Keywords :
data compression; image coding; quadrature mirror filters; transform coding; wavelet transforms; JPEG compression; QMF; efficiency; image compression; quantitative evaluation; subjective evaluation; wavelet transform; Band pass filters; Bandwidth; Filter bank; Frequency domain analysis; Image coding; Signal analysis; Signal processing; Signal synthesis; Transform coding; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614834