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A method of contrast enhancement processing on wide-bits image
Peng, Xiang1,2; Xu, Zhiyong1; Qi, Xiaoping1; Peng, X.
Volume8558
Pages85581S
2012
Language英语
ISSN0277786X
DOI10.1117/12.999430
Indexed ByEi
Subtype会议论文
AbstractIn order to obtain high-quality images in a project, modern cameras with wide-bits (12, 14 or 16 bits width) are usually used to acquire enough original information. Nevertheless, some kinds of data selection and transform processing are necessary to display such images on PC (8 bits width). Besides, the output image should include both high general contrast and clear details. This paper proposed a method with two major steps: for the first step is on the basis of partially overlapped sub-block histogram equalization (POSHE), and change the way of equalizing sub-block image, separate each sub-block recursively with different gray ranges. The second step is taking a kind of pseudo-color processing based on HIS space to enhance the visual effects, so that the image has rich layers and consistent with human's perception. Experimental results show that the algorithm could keep the local details and the mean of the original brightness at the same time, enhanced the image effectively. Considered the adaptability on different scenarios, different objectives, and a reasonable amount of time complexity, this method could adapt the requirements of practical engineering applications. © Copyright SPIE.; In order to obtain high-quality images in a project, modern cameras with wide-bits (12, 14 or 16 bits width) are usually used to acquire enough original information. Nevertheless, some kinds of data selection and transform processing are necessary to display such images on PC (8 bits width). Besides, the output image should include both high general contrast and clear details. This paper proposed a method with two major steps: for the first step is on the basis of partially overlapped sub-block histogram equalization (POSHE), and change the way of equalizing sub-block image, separate each sub-block recursively with different gray ranges. The second step is taking a kind of pseudo-color processing based on HIS space to enhance the visual effects, so that the image has rich layers and consistent with human's perception. Experimental results show that the algorithm could keep the local details and the mean of the original brightness at the same time, enhanced the image effectively. Considered the adaptability on different scenarios, different objectives, and a reasonable amount of time complexity, this method could adapt the requirements of practical engineering applications. © Copyright SPIE.
Conference NameProceedings of SPIE: Optoelectronic Imaging and Multimedia Technology II
Conference Date2012
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7697
Collection光电探测与信号处理研究室(五室)
Corresponding AuthorPeng, X.
Affiliation1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, 610209, China
2. Graduate University, Chinese Academy of Sciences, Beijing, 100039, China
Recommended Citation
GB/T 7714
Peng, Xiang,Xu, Zhiyong,Qi, Xiaoping,et al. A method of contrast enhancement processing on wide-bits image[C],2012:85581S.
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