多尺度图像对比度增强 Multi-Scale Image Contrast Amplification
针对MRI影像经常出现的正常组织和病态组织之间对比度不清的问题，文中采取基于小波变换的非线性的图像增强算法。
Aimed at the unclear contrast problem between normal organization and morbid organization of the MRI, we adapted an enhanced algorithm of image, which based on wavelet transformation and nonlinear.
其目标检测通过确定跟踪区域、分割目标等步骤先减少噪声影响，使图像对比度增强，把目标从背景中突显出来。
The target detection reduces the noise, enhances the image's contrast, and extrudes the target from background through making sure of tracking region and dividing target.
通过对PCNN工作原理和行为机制的深刻剖析，本文提出基于PCNN的低对比度的灰度图像增强算法。
This paper introduces a new method of low contrast gray image enhancement based on PCNN after studying the operation elements and action mechanism of PCNN.
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