Remote Sensing Image Denoising by àtrous Wavelet and Nonsubsampled Directional Filter Bank

Abstract

Abstract: This paper proposed a method of denoising the remote sensing image based on àtrousnonsubsampled contourlet transform. The method uses the àtrous wavelet—an undecimated discrete wavelet transform algorithm to decompose the image into two parts possessing approximate part and detail parts, which are the same size as the original image. Then the nonsubsampled directional filter bank is employed to decompose the detail parts into directional subbands. The different kinds of noises of the remote sensing image can be decomposed into the wavelet coefficients in different scale and directions, with which the best method can be chosen based on the characteristics of the different noises. It is more scientific and more effective than just using one method for all kinds of noises in the past. It is proved that the method proposed in the paper is more useful in removing the noise of the image, reserving richer fine textures and edge information than other traditional filtering methods.

Key words: remote sensing image； à, trous wavelet； nonsubsampled contourlet； image denoising

CLC Number:

TP 391

XU Hua-Nan, LIU Zhe, LIU Can. Remote Sensing Image Denoising by àtrous Wavelet and Nonsubsampled Directional Filter Bank[J]. Journal of Shanghai Jiaotong University, 2012, 46(02): 233-238.

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