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Proceedings Paper

Total variation restoration of the defocus image based on spectral priors
Author(s): Peng Liu; Dingsheng Liu; Zhiwen Liu
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Paper Abstract

In this article, we de-blur one of the out of focus image among several multispectral (MS) remote sensing images by total variation method. The no blur images are used as priors in the restoration of the out of focus image. Although the distributions of the pixel intensity of the multimodal image of different CCD sensors are greatly different form each other, the directions of their edges are very similar. Then, these similar structures and edge information are used as the important priors or constraints in the total variation image restoration. The steps are: first, the PAN (panchromatic) image is denoted approximately as the weighted sum of all the bands of MS images, and the weight parameters of the relationship between the PAN image and the MS images are computed by least square method; Second by the relationship and the weight parameters, an initial estimation of the out of focus image is calculated; third, the total variation image restoration is local linearized by fixed point iterative method; fourth, the initial estimation for the out of focus image in the third step is brought to the fixed point iteration. At last, by introduce the new priors from the relationship between MS and PAN image, the new total variation image restoration frame is constructed. The edge and gradient information from the no blur images of other channels make the total variation regularization better suppress the noise in de-convolution. The comprehensive experiments are done by using different images with different level of noise. The higher PSNR is acquired by proposed method when it is compared with some other state of art methods. Experiments confirm that the algorithm is very effective especially when the noise in blur remote sensing image is relative large.

Paper Details

Date Published: 22 October 2010
PDF: 12 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783018 (22 October 2010); doi: 10.1117/12.864662
Show Author Affiliations
Peng Liu, Ctr. for Earth Observation and Digital Earth (China)
Dingsheng Liu, Ctr. for Earth Observation and Digital Earth (China)
Zhiwen Liu, Ctr. for Earth Observation and Digital Earth (China)

Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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