From Retinex to Automatic Color Equalization: issues in developing a new algorithm for unsupervised color equalization
From Retinex to Automatic Color Equalization: issues in developing a new algorithm for unsupervised color equalization
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DOI：
10.1117/1.1635366
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
A. Rizzi;C. Gatta;D. Marini
中科院分区：
文献类型：
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作者：
A. Rizzi;C. Gatta;D. Marini
我们提出了两种颜色均衡算法之间的比较：Retinex，著名的模型，由于土地和McCann，自动颜色均衡（ACE），最近提出的一种新算法的作者。这两种算法有一个共同的颜色均衡方法，但不同的计算模型。我们介绍了这两种模式，重点是差异和共同点。它们的计算特性的分析说明了Retinex方法影响ACE结构的方式，以及第一种算法的哪些方面在第二种算法中进行了修改以及如何修改。他们有趣的均衡性能，如亮度和颜色恒定性，图像动态拉伸，全局和局部滤波，和数据驱动的去量化，定性和定量的介绍和比较，连同他们的能力，模仿人类视觉系统。© 2004 SPIE和IS&T。
We present a comparison between two color equalization algorithms: Retinex, the famous model due to Land and McCann, and Automatic Color Equalization (ACE), a new algorithm recently presented by the authors. These two algorithms share a common approach to color equalization, but different computational models. We introduce the two models focusing on differences and common points. An analysis of their computational characteristics illustrates the way the Retinex approach has influenced ACE structure, and which aspects of the first algorithm have been modified in the second one and how. Their interesting equalization properties, like lightness and color constancy, image dynamic stretching, global and local filtering, and data driven dequantization, are qualitatively and quantitatively presented and compared, together with their ability to mimic the human visual system. © 2004 SPIE and IS&T.