In this paper, a new nonlinear image enhancement method suitable to the response of the human visual system is proposed.
本文将传统的线性方法同韦伯定律有机结合起来，提出了一种新的适应于人眼视觉特性的非线性图象锐化增强方法。
Design and realize a medical image processing system which accords with the clinical image department 's procedure, realize the image enhancement method and applies to clinic.
设计并实现一个符合影像科室流程的医学影像处理系统，实现影像增强方法并应用于临床。
This thesis proposes an algorithmic adaptive image enhancement method based on pixel classification, but this method only can change edge slope and can not change edge contrast.
本文在图像自适应增强方面，提出了基于像素分类的算法自适应图像增强方法。但是这种方法只能改变边缘的斜率而不能改变边缘两侧的对比度。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
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