Image Enhancement by Gain-Limited Histogram Equalization

S. Yelmanov, Y. Romanyshyn
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Abstract

This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of improving the effectiveness of image enhancement based on the use of the technique of clipped histogram equalization. To that end, we offer a new technique to image enhancement by gain-limited histogram equalization (GLHE). The proposed GLHE technique is based on a new approach to normalizing the result of clipped histogram equalization. This approach improves the efficiency of improving complex images without the appearance of undesirable distortions and artifacts. The proposed GLHE technique is intended to be used in real-time applications to normalize and improve video content.
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基于增益限制直方图均衡化的图像增强
本研究致力于改善数字图像和视频在实时应用中的问题。本文研究了在不失真和信息丢失的情况下自动增强图像的任务。这项工作解决了基于使用剪切直方图均衡化技术提高图像增强有效性的挑战。为此,我们提出了一种新的图像增强技术——增益限制直方图均衡化(GLHE)。本文提出的GLHE技术是基于一种新的方法对截断直方图均衡化的结果进行归一化。这种方法提高了改进复杂图像的效率,而不会出现不希望出现的失真和伪影。所提出的GLHE技术旨在用于实时应用中对视频内容进行规范化和改进。
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