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Proceedings Paper

Blind image restoration based on a new wavelet edge detection
Author(s): Hongzhi Wang; Jinying Guo; Lili Liu
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Paper Abstract

We present an effective image recovering method .Edge information are very important, we can detect the edge of the image via wavelet transform before recovering the image. In this paper, we give a simple and effective method to detect the edge information. The first, we can decompose the image using a wavelet transform, the high frequency information is corresponding to the edge and noise, the edge and noise have different properties, as follows: the orientation of edge is very strong, but the noise is non-orientation. On base of that, we can decompose the edge and noise in horizontal orientation, vertical orientation, and diagonal orientation. Because the edge is directional, its values in each orientation have much difference; in opposition, noise is non-orientation, its values are almost same. We can set the threshold based on the variances of difference in each orientation. By this time, we gain the edge without noise. For the rest, we can restore using regularization. Now the low frequency is corresponding to the flat. In this paper, we detect the edge by the wavelet, so can choose a bigger parameter to recover. At last, we add the edge and the part of regularized image restoration. This method has advantage in holding the edge and is simple to choose the parameter of regularization. Experimental results show the good performance, this method can keep image's of edge from degradation and increase PSNR up to 1~2dB.

Paper Details

Date Published: 15 November 2007
PDF: 5 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870P (15 November 2007); doi: 10.1117/12.748678
Show Author Affiliations
Hongzhi Wang, Changchun Univ. of Technology (China)
Jinying Guo, Changchun Univ. of Technology (China)
Lili Liu, Changchun Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

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