DocumentCode :
1427748
Title :
A DCT-based embedded image coder
Author :
Xiong, Zixiang ; Guleryuz, Onur G. ; Orchard, Michael T.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume :
3
Issue :
11
fYear :
1996
Firstpage :
289
Lastpage :
290
Abstract :
Since Shapiro (see ibid., vol.41, no.12, p. 445, 1993) published his work on embedded zerotree wavelet (EZW) image coding, there have been increased research activities in image coding centered around wavelets. We first point out that the wavelet transform is just one member in a family of linear transformations, and the discrete cosine transform (DCT) can also be coupled with an embedded zerotree quantizer. We then present such an image coder that outperforms any other DCT-based coder published in the literature, including that of the Joint Photographers Expert Group (JPEG). Moreover, our DCT-based embedded image coder gives higher peak signal-to-noise ratios (PSNR) than the quoted results of Shapiro´s EZW coder.
Keywords :
discrete cosine transforms; image coding; transform coding; wavelet transforms; DCT based embedded image coder; JPEG coder; Joint Photographers Expert Group; PSNR; Shapiro EZW coder; discrete cosine transform; embedded zerotree quantizer; embedded zerotree wavelet image coding; image coder; linear transformations; peak signal-to-noise ratios; wavelet transform; Computational efficiency; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Filters; Image coding; Image resolution; Karhunen-Loeve transforms; PSNR; Transform coding;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.542157
Filename :
542157
Link To Document :
بازگشت