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	Display method for high dynamic range infrared image based on gradient domain guided image filter 期刊论文 OAI收割 OPTICAL ENGINEERING, 2024, 卷号: 63, 期号: 1 作者: Zhang, Feifei; Dai, Yimian; Chen, Yaohong; Peng, Xuedian; Zhu, Xiongyong \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/06/07 display methods infrared images gradient domain guided image filter high dynamic range compression detail enhancement
	High-Performance Enhancement of SWIR Images 期刊论文 OAI收割 ELECTRONICS, 2022, 卷号: 11, 期号: 13 作者: Dong, Sen; Xiong, Zhi; Li, Rongbing; Chen, Yaohong; Wang, Hao \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2022/08/25 SWIR enhancement detail enhancement
	New technique for dynamic-range compression and contrast enhancement in infrared imaging systems 期刊论文 OAI收割红外与激光工程, 2018, 卷号: 47, 期号: S1, 页码: 180-189 作者: Luo HB(罗海波); Li FZ(李方舟); Wang YY(王园园); Zhao YH(赵耀宏); Zhao Y(赵洋) \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2018/08/08 dynamic range compression detail enhancement infrared images high dynamic range
	Infrared Image Enhancement Based on Multiscale Bilateral Detail Decomposition 会议论文 OAI收割 international conference on electrical engineering and automation (iceea), xiamen, peoples r china, 2016-12-18 作者: Zeng, Qing-jie; Li, Jia; Qin, Han-lin; Leng, Han-bing; Lv, En-long 收藏 \| 浏览/下载：47/0 \| 提交时间：2017/09/15 Infrared image Detail enhancement Multiscale decomposition Bilateral filter
	Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文 OAI收割 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography which can not reveal bone and soft tissue position deficiency in one exposing and reduces the Xray radiation dose. Meanwhile various factors cause the decline of image quality and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect SNR was high as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications Switzerland.
	The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia Ming-Hui Z.; Yao-Yu Z. 收藏 \| 浏览/下载：65/0 \| 提交时间：2013/03/25 Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast powerful computer disposal function little radiation dosage non-film diagnosis different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc. can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details aiming at the defects an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications Switzerland.
	An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE) 会议论文 OAI收割 International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms moreover CR image enhanced has good visual effect the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.
	Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 The characteristic of digital CR medicine radiation image has wide dynamic range abundant details and bad contrast so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property which is more sensitive to smooth area noise compared with detail area noise and makes image edge detail enhancement great in detail area and detail enhancement little in smooth area in which factor K is based on space change of image domain accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.