Quadtree Based Infrared Image Compression in Wavelet Transform Domain 


Vol. 29,  No. 3, pp. 387-397, Mar.  2004


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  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 x 256 size and 8lbit], was used to compare the performances of the existing and the proposed compression methods.

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  Cite this article

[IEEE Style]

C. Cho and S. Lee, "Quadtree Based Infrared Image Compression in Wavelet Transform Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 3, pp. 387-397, 2004. DOI: .

[ACM Style]

Chang-Ho Cho and Sang-Hyo Lee. 2004. Quadtree Based Infrared Image Compression in Wavelet Transform Domain. The Journal of Korean Institute of Communications and Information Sciences, 29, 3, (2004), 387-397. DOI: .

[KICS Style]

Chang-Ho Cho and Sang-Hyo Lee, "Quadtree Based Infrared Image Compression in Wavelet Transform Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 3, pp. 387-397, 3. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880