基于对比度破坏的图像质量改善方法的发展与分析

M. Baldin, N. Kozyrev, I. Gorshunov, V. Kolomoitcev
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引用次数: 0

摘要

提出了一种基于直方图均衡化算法提高图像视觉质量的方法。研究了常用的直方图均衡化算法,描述了它们的优缺点。介绍了对比度不一致图像的分类方法。本文的一个重点工作是开发一种新的图像处理方法来处理不同类型的对比度违规。这种方法提供了改进的图像质量,而不考虑分类和特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Analysis Methods of Images Quality Improvement with Violation of Contrast
Method is proposed to improve the visual quality of images based on algorithms based on histogram equalization. The work examined widely used algorithms of histograms equalization, described their advantages and disadvantages. The classification of images with contrast violation has been introduced. A focus of the work is the development of a new method of image processing with different types of contrast violations. This approach provides improved images quality, regardless of classification and characteristics.
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