@inproceedings{7e74b1e54b7b462cb2bb922b18d25fd8,
title = "High dynamic range algorithm based on HSI color space",
abstract = "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.",
keywords = "HDR image, HSI color space, image processing, visualization of image",
author = "Jiancheng Zhang and Xiaohua Liu and Liquan Dong and Yuejin Zhao and Ming Liu",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Optoelectronic Imaging and Multimedia Technology III ; Conference date: 09-10-2014 Through 11-10-2014",
year = "2014",
doi = "10.1117/12.2071322",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Qionghai Dai and Tsutomu Shimura",
booktitle = "Optoelectronic Imaging and Multimedia Technology III",
address = "United States",
}