Optical Illusion Effect by Histogram Analysis

Gwanggil Jeon, Eunju Kim, Nam Kook Kim
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Abstract

In this paper, we presents a fuzzy concept based histogram equalization approach. We use Kaufmann's metric of fuzziness concept for histogram equalization. The principal idea of this article is to utilize and evaluate degree of fuzziness. The presented histogram equalization approach is processed to Y component of YUV color space, which is transformed information from RGB image. The improved Y channel information is merged with color information signals I and Q, and re-transformed to generated RGB image. The subjective performance comparison is provided in simulation results section.
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直方图分析的视错觉效果
本文提出了一种基于模糊概念的直方图均衡化方法。我们使用Kaufmann的模糊概念度量来实现直方图均衡化。本文的主要思想是利用和评价模糊度。本文提出的直方图均衡化方法对YUV色彩空间的Y分量进行处理,Y分量是由RGB图像转换而来的信息。改进后的Y通道信息与颜色信息信号I、Q合并,重新变换生成RGB图像。主观性能比较在仿真结果部分给出。
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