Resolution Scalable Image Coding with Dyadic Complementary Rational Wavelet Transforms
Traditional wavelet-based image coders use dyadic multi-resolution decompositions, resulting in spatial resolutions that are also dyadic in scale, i.e., powers of 1/2 the original resolution. In this paper, we increase the set of decodable spatial resolutions beyond dyadic scales by introducing a two-dimensional wavelet decomposition made of combining wavelet transforms of non-integer dilation factors. We describe how the proposed wavelet decomposition can produce spatial resolutions related to the original resolution by dyadic and non-dyadic ratios, and present how the resulting subband structure can be made compatible with zerotree-based subband coders.
KeywordsImage compression dyadic and non-dyadic spatial scalability rational dilation wavelet transform
- 3.Xiong, R., Xu, J., Wu, F.: A lifting-based wavelet transform supporting non-dyadic spatial scalability. In: IEEE International Conference on Image Processing, October 2006, pp. 1861–1864 (2006)Google Scholar
- 7.Christophe, E., Pearlman, W.A.: Three-dimensional SPIHT coding of volume images with random access and resolution scalability. EURASIP Journal on Image and Video Processing 2008 (2008)Google Scholar