结构相似性灰关联在强噪声图像增强中的应用

doi:10.3969/j.issn.1001-2400.2010.02.029

Abstract

Abstract:

To improve the heavy noised image quality, this paper proposes a new image enhancement algorithm. Firstly, the noised image is transformed into the wavelet domain via multiscale decomposition, and the information in different resolutions and different directions in the frequency domain are obtained. Then the regularities of coefficient distribution and attenuation characteristics of noise and edges in different subbands are employed to distinguish noise from edges and textures, and thus the image quality is improved by noise suppression and edge enhancement. Experimental results show that our algorithm is superior to most traditional spatial filters and new-developed methods based on the wavelet or contourlet transform both in visual effect and Peak-Signal-to-Noise Ratio (PSNR). It can be applied to image enhancement preprocessing in heavy noise environment.

Key words: image enhancement, wavelet transform, GRA, structural similarity

MA Miao;JIAO Li-li. Research on image enhancement for the heavy noised image based on structural similarity via gray relational analysis[J].J4, 2010, 37(2): 346-352+365.

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Research on image enhancement for the heavy noised image based on structural similarity via gray relational analysis

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