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14 November 2007 Adaptive Lee enhancement algorithm for processing drop_quality image
Xinsai Wang, Jing He, Xue Li, Ming He
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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891Z (2007) https://doi.org/10.1117/12.746016
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In order to transform image contrast and enhance vision effect the enhancement processing of image is need in the system of object recognition and automatic target tracking. The methods of image enhancement are more, for example, linearity, line segment, nonlinear, histogram equalization, histogram normalization, power exponent, local gray-level statistic feature and so on. Through analyzing gradient characteristic of image gray-level, in this paper the method of image enhancement is presented based on the local statistic arithmetic of neighborhood grads even. Experiment results show the correctness and utility of this method.
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Xinsai Wang, Jing He, Xue Li, and Ming He "Adaptive Lee enhancement algorithm for processing drop_quality image", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891Z (14 November 2007); https://doi.org/10.1117/12.746016
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KEYWORDS
Image enhancement
Image processing
Image quality
Enhanced vision
Medical imaging
Image contrast enhancement
Image processing algorithms and systems
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