SAR Image Compression Using Bandelets and SPIlT

Liu, Hanqiang; Hou, Biao; Wang, Shuang; Jiao, Licheng

doi:10.1109/icr.2006.343305

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…The SPIHT algorithm is an efficient tree-based coding algorithm with which many MGA transforms achieve desirable coding quality [6,9,18,21,24,28,32]. In this coding algorithm, interscale dependencies are considered through the parent-children relationships existing among the MGA transformed coefficients.…”

Section: Coding Algorithmmentioning

confidence: 99%

“…Many NLA and coding experimental results show that the MGA transform-based methods are always visually superior to wavelet transform-based method [18][19][20][21][22][23][24][25][26]. For instance, the contourlet transform provides not only the multiscale representation, but also offers a higher degree of directionality with simpler discrete-domain construction [17].…”

Section: Introductionmentioning

confidence: 99%

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Non-redundant Tunable-Q Contourlet Transform and Its Application to Image Coding

Wang

Yao³

et al. 2021

Preprint

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We propose a non-redundant tunable-Q contourlet transform for image coding. Existing non-redundant contourlet transforms use multiscale pyramids to iteratively decompose an image into octave frequency bands in the frequency domain. This constant low-Q transform scheme is not suitable for the coding of rich-texture images, in which there are numerous edges and thus rich intermediate- and high- frequency components in the frequency domain. By integrating a non-redundant rational-dilation wavelet transform with the directional filter bank of the contourlet, we construct a new contourlet transform scheme which is not only non-redundant but also provides a really tunable-Q transform scheme by tuning its dilation factor. Using a search algorithm based on information-maximization, one can determine the optimal-dilation-factor (or Q-pattern) for a given dataset. Based on the SPIHT coding scheme, we construct a coding algorithm using the proposed transform. Experimental results show that for texture image coding, our coding method using the optimal Q-pattern is always superior to many existing state-of-art transform coding methods in both visual assessments and quantitative evaluations, including the JPEG and JPEG2000 standards, and the coders based on the wavelet packet transform and wavelet-based contourlet packet transform.

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