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引用次数: 2
摘要
在处理图像的应用中,广泛使用的方法(称为增强对比度)是均衡化直方图。这方面的算法可以毫不费力地执行;即使这样,它也有将图像亮度变形到灰度尺度中心点的倾向。本文档展示了直方图的修改方案,该方案是基本的,可以根据实现的特性来处理此类问题。发现了直方图的两个支持量的边界估计,并分别定位到相关的质量。然后通过枚举概率密度函数来计算图像的概率,并利用映射修正函数来实现HE。实验结果表明,所提出的方法可以有效地提高由HE和HM例程改进的图像标准,甚至称为直方图再分布的HR,例如灰度(GLG)分组,RGB颜色间距和色调保持方法。分别取R G B分量,重新映射。
Histogram modification based colour image enhancement scheme
In an application of which processes an image, the method used widely CE referred as term Contrast of Enhancement is HE Histogram of Equalization. An algorithm for this may be effortlessly executed; even so, it has a tendency to transfigure the image brightness to the center point of scale of gray level. This document shows the modification scheme of a histogram which is elementary to take care of such sort of issues as per trait of implementation. The boundary estimations which are two in quantity of backing of histogram chart are discovered and situated to relating qualities, individually. The probability density function for calculating probability of the image is then is enumerate & revised function of mapping is utilized to accomplish HE. Outcomes of trial demonstrate that the methodology suggested may viably enhance image standard improved by HE & HM routines, & even HR called as redistribution of histogram, for example, (GLG) grouping of gray level, RGB colour spacing and hue preserving methods. Taking R, G and B component individually and remap them.