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Quadtree Based Infrared Image Compression in Wavelet Transform Domain  

조창호 (광운대학교 제어계측공학과 자동제어응용 연구실)
이상효 (광운대학교 제어계측공학과 자동제어응용 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.29, no.3C, 2004 , pp. 387-397 More about this Journal
Abstract
The wavelet transform providing both of the frequency and spatial information of an image is proved to be very much effective for the compression of images, and recently lot of studies on coding algorithms for images decomposed by the wavelet transform together with the multi-resolution theory are going on. This paper proposes a quadtree decomposition method of image compression applied to the images decomposed by wavelet transform by using the correlations between pixels and '0'data grouping. Since the coefficients obtained by the wavelet transform have high correlations between scales and high concentrations, the quadtree method can reduce the data quantity effectively. the experimental infrared image with 256${\times}$256 size and 8〔bit〕, was used to compare the performances of the existing and the proposed compression methods.
Keywords
wavelet transform; quadtree; image compression; infrared Image;
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