直方图自适应图像分割对比度增强

S. Rubin, R. Kountchev, V. Todorov, R. Kountcheva
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引用次数: 6

摘要

本文提出了一种改善曝光不足或低对比度图像视觉质量的具体方法。为此,提出了一种基于对图像中暗元素密度较高的区域进行分割的对比度增强算法。该问题是通过改变所选部分的亮度间隔来解决的,然后对直方图的相应部分进行均衡化(特别是线性拉伸和倾斜)。该方法实现相对简单,便于根据图像内容调整对比算法,只需要设置少量参数。得到的结果证明了新方法在处理图像质量方面的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contrast Enhancement with Histogram-Adaptive Image Segmentation
In the paper is presented a specific approach aimed at the improvement of the visual quality of underexposed or low-contrast images. For this is developed a new contrast-enhancement algorithm based on the segmentation of the image area with relatively high density of dark elements. The problem is solved changing the brightness intervals of the selected segments followed by equalization (in particular - linear stretch and skew) of the corresponding parts of the histogram. The method implementation is relatively simple and permits easy adaptation of the contrasting algorithm in accordance with the image contents, requiring the setting of small number of parameters only. The obtained results prove the efficiency of the new method on the processed image quality
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