According to the disadvantage of color distortion of color histogram equalization algorithm, a new image enhancement algorithm based on dark channel prior is presented.
针对彩色直方图均衡化算法颜色易失真的缺点,提出了一种基于暗原色先验的快速图像增强算法。
A modified algorithm of histogram equalization to gray image manipulation was discussed and actualized by analyzing principia and deficiency of the traditional algorithm of gray image.
分析了传统灰度图像直方图均衡化算法的不足,讨论并实现了一种改进的直方图均衡化图像增强算法。
This paper develops an image enhancement algorithm of histogram equalization.
给出了一个改进的直方图均衡化图象增强算法。
Fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.
提出自适应邻域灰阶扩展直方图均衡法的快速算法,大大减小运算量,使其在临床上的应用成为可能。
In view of the shortcoming of direct histogram equalization and big work of mapping law's calculate in histogram specification, proposed one kind of improvement stipulation algorithm.
在对比指纹图像的灰度直方图增强的技术的基础上,针对均衡化算法的不足和现有直方图规定化算法中映射规则计算量大的情形,提出一种改进的规定化算法。
Compared with traditional histogram equalization method, the new algorithm not only reserves the visual characteristics of bright region but also brings relatively weak noise enhancement.
与传统直方图均衡化增强方法相比,该方法保留了较亮区域的视觉特性,且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserved the visual characteristics of bright region, but also make noise enhancement relative weak.
与传统直方图均衡化增强方法相比,该方法保留了较亮区域的视觉特性,且对噪声的增强相对较弱。
Implement histogram equalization as described in Algorithm 4.1.
实现直方图均衡化于算法4.1中描述。
Implement histogram equalization as described in Algorithm 4.1.
实现直方图均衡化于算法4.1中描述。
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