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	An algorithm of non-continuous gray-scale histogram enhancement based on the visual characteristics
	Li Y; Li Z; Tang XY
	2017
关键词	Non-continuous gray-scale histogram Visual characteristics curve Central segment histogram enhancement Gray-scale compression Image enhancement Infrared
DOI	10.1117/12.2285123
英文摘要	Infrared thermal image with many noises blurred details and large ranges needs to be processed on human observation applications. As the dynamic range of the infrared detector data is usually much larger than that of the display device format infrared image needs to be gray-scale compression before displaying to human eyes. In order to achieve a good vision-observation effect and to retain the major information at the same time it is proposed an algorithm of non-continuous gray-scale histogram enhancement based on the human visual characteristics. Firstly through researching on gray-scale characteristics curve of the human visual on the image resolution it configures a "visual resolution histogram" (VRH) which has non-continuous gray scales determined by the gray-scale characteristics curve. Secondly it integrates both equalization method and order-mapping themes to transform infrared thermal image into the format of continuous and even distribution on gray scales in visual resolution histogram. As well as it proposes a "Central Segment Histogram Enhancement" (CSHE) to keep mean brightness effects on the visual system. Finally experiments show that the proposed algorithm provides rich layers and good resolutions of displaying image on human view as well as reduces the adverse phenomenon of scale moderation in conventional histogram equalization theme.
语种	英语
内容类型	会议论文
源URL	[http://202.127.2.71:8080/handle/181331/12079]
专题	上海技术物理研究所_上海技物所
作者单位	Shanghai Inst Tech Phys
推荐引用方式 GB/T 7714	Li Y,Li Z,Tang XY. An algorithm of non-continuous gray-scale histogram enhancement based on the visual characteristics[C]. 见:.

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