29 October 2014 High dynamic range algorithm based on HSI color space
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This paper presents a High Dynamic Range algorithm based on HSI color space. To keep hue and saturation of original image and conform to human eye vision effect is the first problem, convert the input image data to HSI color space which include intensity dimensionality. To raise the speed of the algorithm is the second problem, use integral image figure out the average of every pixel intensity value under a certain scale, as local intensity component of the image, and figure out detail intensity component. To adjust the overall image intensity is the third problem, we can get an S type curve according to the original image information, adjust the local intensity component according to the S type curve. To enhance detail information is the fourth problem, adjust the detail intensity component according to the curve designed in advance. The weighted sum of local intensity component after adjusted and detail intensity component after adjusted is final intensity. Converting synthetic intensity and other two dimensionality to output color space can get final processed image.
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Jiancheng Zhang, Jiancheng Zhang, Xiaohua Liu, Xiaohua Liu, Liquan Dong, Liquan Dong, Yuejin Zhao, Yuejin Zhao, Ming Liu, Ming Liu, "High dynamic range algorithm based on HSI color space", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732G (29 October 2014); doi: 10.1117/12.2071322; https://doi.org/10.1117/12.2071322

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