Laser & Optoelectronics Progress, Volume. 52, Issue 1, 11001(2015)
Infrared Image Enhancement Algorithm Based Human Visual System Characteristic Via Non-Subsampled Contourlet Transform Domain
Considering the low contrast, fuzzy edge of infrared images, an enhancement algorithm based on the luminance and contrast masking characteristics of the human visual system is presented, the parametric contrast is computed, then non-linear gain function is used to process the parametric contrast, which enhances low contrast more than high contrast, to improve image details and image contrast, then to suppress small coefficients by threshold denoising method. The incomplete beta function is applied to improve global brightness of image. Experimental results demonstrate the ability of the proposed algorithm to achieve simultaneous local and global enhancements. The phenomenon of over-enhancement is avoided. The enhanced image is of good visual perception.
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Zhu Guoqing, Li Qingwu, Lin Shaofei, Zhou Liangji. Infrared Image Enhancement Algorithm Based Human Visual System Characteristic Via Non-Subsampled Contourlet Transform Domain[J]. Laser & Optoelectronics Progress, 2015, 52(1): 11001
Category: Image Processing
Received: Jul. 22, 2014
Accepted: --
Published Online: Dec. 29, 2014
The Author Email: Guoqing Zhu (563867910@qq.com)