Title :
Color image compression/reconstruction by YUV fuzzy wavelets
Author :
Nobuhara, Hajime ; Hirota, Kaoru
Author_Institution :
Dept. of Comput. Intelligence & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
A color image compression/reconstruction method based on fuzzy wavelets is proposed, where YUV color space is employed. Since the Y space includes more important information than that of U and V space, more efficient image compression/reconstruction can be achieved compared with RGB space based one by employing the condition that the file-size of compressed image of Y space is bigger than that of U and V space. The proposed YUV fuzzy wavelets are based on a partial fuzzification of morphological wavelets, and the operations of the wavelets can be performed by fuzzy relational calculus, partially. To compress/reconstruct the image effectively, a soft threshold scheme can be given as alpha-band, which is an extended concept of, alpha-cut of fuzzy relation. Through an experiment using a color image extracted from SIDBA, it is confirmed that the root mean square error of the proposed YUV fuzzy wavelets is decreased to 78.65% of that of RGB fuzzy wavelets, under the condition that the compression rate is about 0.11.
Keywords :
data compression; feature extraction; fuzzy set theory; image colour analysis; image reconstruction; mean square error methods; wavelet transforms; color image compression; color image extraction; fuzzy relational calculus; fuzzy wavelets; image reconstruction; morphological wavelets; partial fuzzification; root mean square error; soft threshold scheme; Calculus; Color; Computational intelligence; Fuzzy systems; Image coding; Image reconstruction; Signal analysis; Signal synthesis; Space technology; Wavelet analysis;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1337400
