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This paper proposes a novel image denoising algorithm using the Contourlet transform and the two-dimensional Principle Component Analysis (2DPCA). The noise image can be decomposed by the Contourlet into directional subbands. The 2DPCA is then carried out to estimate the threshold for the image blocks in high frequency subbands. The soft thresholding shrinkage can hence be employed on the Contourlet...
In this paper, we propose a SAR image texture segmentation method based on Contourlet transform and Support Vector Machine (SVM). The Contourlet transform provides a multi-resolution and multidirectional representation of images, which can capture the directional texture information into subbands of different scales and directions. Thus, the energy, standard deviation and information entropy defined...
Contourlet has shown good performance in different aspects of image processing. Because of its charming multi-resolution and multi-direction characteristics, Contourlet is especially efficient in the processing of images with abundant texture. In this paper, a texture classification method is presented for the SAR images based on the Contourlet transform and a minimum distance classifier. The interested...
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