Infrared image enhancement based on Riemann-Liouville fractional calculus and human visual properties

Kai Zhang; Qun Hao; Yong Song; Yao Hu

doi:10.1117/12.2033419

11 September 2013 Infrared image enhancement based on Riemann-Liouville fractional calculus and human visual properties

Kai Zhang, Qun Hao, Yong Song, Yao Hu

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89073D (2013) https://doi.org/10.1117/12.2033419
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

In order to improve the definition of the infrared image, and make it more accessible for human eyes, an infrared image enhancement algorithm based on Riemann-Liouville (R-L) fractional calculus and human visual properties is proposed in this paper. Combining the mathematical model of human retinal receptive field with R-L fractional calculus theory, an R-L fractional order Rodieck enhancement mask is designed. The mask is used to enhance the textures and edges of the image. Then, the grayscales of the enhancement result are adjusted according to the grayscale resolution capabilities of human eyes. It further improves the contrast of infrared images. Experimental results show that the proposed algorithm can effectively enhance the texture details and contrast of infrared images. Compared with histogram equalization method and multi-Retinex method, the enhancement result of the proposed algorithm has better visual effect, and it is more accessible for human eyes.

Citation Download Citation

Kai Zhang, Qun Hao, Yong Song, and Yao Hu "Infrared image enhancement based on Riemann-Liouville fractional calculus and human visual properties", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89073D (11 September 2013); https://doi.org/10.1117/12.2033419

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