Implementation and optimization of the algorithm of automatic color enhancement in digital images

J. Romero, L. Prócel, L. Trojman, Damien Verdier
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引用次数: 7

Abstract

This paper studies the implementation of an algorithm to enhance the color of an image by considering global and local effects. The implementation is done on Matlab((and also on a FPGA using VHDL. The algorithm is called ACE (automatic color equalization). The paper presents the optimization of the algorithm using a subset or window. The algorithm performs the color enhancement automatically by equalizing the colors and improving the image. The results show an image with more contrast, higher number of details and visually better. Indeed, ACE maximizes the information of the image. The optimization of the algorithm reduces the complexity of the original one. Additionally, the VHDL implementation is quite faster than Matlab's.
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数字图像自动色彩增强算法的实现与优化
本文研究了一种综合考虑全局和局部效应的图像色彩增强算法的实现。实现是在Matlab()上完成的,也可以在使用VHDL的FPGA上完成。这种算法被称为ACE(自动色彩均衡)。本文提出了使用子集或窗口对算法进行优化。该算法通过平衡色彩和改善图像来实现色彩的自动增强。结果显示,图像对比度更高,细节数量更多,视觉效果更好。事实上,ACE最大化了图像的信息。通过对算法的优化,降低了原算法的复杂度。此外,VHDL的实现比Matlab的快得多。
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