A local image enhancement method based on adjacent pixel gray order-preserving principle

Xiaopeng Fan; Tiefeng Cai; Feng Zhu

doi:10.1117/12.2032922

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11 September 2013 A local image enhancement method based on adjacent pixel gray order-preserving principle

Xiaopeng Fan, Tiefeng Cai, Feng Zhu

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Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 890723 (2013) https://doi.org/10.1117/12.2032922
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method. Local contrast enhancement, adjacent pixel gray order-preserving principle, iterative algorithm, image quality assessment.

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Xiaopeng Fan, Tiefeng Cai, and Feng Zhu "A local image enhancement method based on adjacent pixel gray order-preserving principle", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890723 (11 September 2013); https://doi.org/10.1117/12.2032922

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