Stripe noise removal of remote image based on wavelet variational method

doi:10.11947/j.AGCS.2019.20180394

Abstract

Abstract: In order to avoid the loss of image details in the process of strip noise removal, a method based on wavelet variational method was proposed to remove strip noise of remote images. First, remote image with stripe noise was decomposed by wavelet technology. Second, a stripe preserve variation model was constructed, this model could effectively remove image details from the wavelet horizontal direction high-frequency components in lower layers and only preserve the stripe noise, and the details are effectively separated; a destriping variation model was constructed, this model could effectively preserve the image details while removing the strip noise form the wavelet horizontal direction high-frequency components in the top layers. Finally, the destriping image was obtained by wavelet reconstruction. Experimental results show that the proposed method not only can effectively restrain the stripe noise of remote image, and can be also preserve the image details very well. The quality and contrast of destriping image are the best.

Key words: wavelet transform, stripe preserve variation model, destriping variation model, high-frequency component, remote image

CLC Number:

P237

WANG Chang, ZHANG Yongsheng, WANG Xu, JI Song. Stripe noise removal of remote image based on wavelet variational method[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 1025-1037.

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