一种利用人工蜂群增强图像对比度的有效方法

Piyush Joshi, S. Prakash
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引用次数: 14

摘要

对比度增强是图像处理中一个重要的阶段,用于改善退化图像的视觉和信息质量。提出了一种利用改进的人工蜂群(ABC)技术对对比度较差的图像进行增强的方法。本文包括以下两个主要贡献。首先,将方向约束(DC)与ABC相关联,使人工蜜蜂能够朝着正确的方向移动,从而获得更好的解,减少计算时间。这与天然蜜蜂利用记忆寻找食物来源类似。其次,将基于对比度的质量估计(CQE)作为ABC的目标函数。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient technique for image contrast enhancement using artificial bee colony
Contrast enhancement is a significant phase in image processing for improving visual and informational quality of a degraded image. We propose an enhancement technique for poor contrast images which utilizes modified Artificial Bee Colony (ABC) technique. This paper includes following two major contributions. First, Direction Constraints (DC) has been associated with ABC so that artificial bees can move in right direction to obtain better solution and reduce computational time. This is similar to natural bees which use their memory to find out food sources. Second, Contrast based Quality Estimation (CQE) is used as an objective function of ABC. Experimental results show the effectiveness of the proposed technique.
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