Research of objective assessment method for defogged image quality

J4 ›› 2016, Vol. 33 ›› Issue (1): 20-28.

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Research of objective assessment method for defogged image quality

Liu Haibo, Tang Qunfang, Yang Jie

1 Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070,Hubei,China;
2 School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002,Hunan,China;
3 Key Laboratory of Signal and Information Processing, Hunan Institute of Technology, Hengyang 421002,Hunan,China

Received:2015-01-29 Revised:2015-03-11 Published:2016-01-28 Online:2016-01-06

Abstract

Abstract:

Since there is lack of methodology to assess the performance of dehazing method and the existing assessment methods have some limitations, an new objective quality assessment method for defogged images is proposed. For the halo artifacts, an edge-weighted structural similarity index is adopted to assign different weights to contour correlation and local texture correlation of the fog image and defogged image, which can represent the structural similarity. From the perspective of human visual perception, the normalized gray difference of defogged image is defined to describe the luminance of the image. Then, the fog image and defogged image are changed from RGB space to HSV space. Information entropy and histogram similarity of S component are used to assess the color performance of defogged image. Finally, with these three factors, a comprehensive image quality assessment model is established, which is used to make the objective evaluation and comparison. Experimental results demonstrate that the proposed method can achieve a consistent result with our subjective perception as well as obtain a good effectiveness and reliability.

Key words: image processing; image assessment; edge-weighted structural similarity index; normalized gray difference; color-weighted reproduction index

CLC Number:

O435.1

Liu Haibo, Tang Qunfang, Yang Jie. Research of objective assessment method for defogged image quality[J]. J4, 2016, 33(1): 20-28.

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Research of objective assessment method for defogged image quality

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