Contrast preserving decolorization method under gradient domain global mapping

Bin Xie; Guanchao Wang; Yan Xu; Shumin Yang; Yanwei Li

doi:10.1117/12.2673945

6 April 2023 Contrast preserving decolorization method under gradient domain global mapping

Bin Xie, Guanchao Wang, Yan Xu, Shumin Yang, Yanwei Li

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 1261509 (2023) https://doi.org/10.1117/12.2673945
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

In recent years, many decolorization methods have been proposed in various fields. In the traditional decolorization methods, people often adopt strict color order to reduce the dimension of the original color image, but the gray image resulting from this method often has low contrast. However, there are still many obvious problems such as low contrast, lack of detail and lack of layering in the current proposed de-color methods. In this paper, by studying the projection amplification of global mapping, a bimodal mapping method is designed by using gradient correlation as the standard. Under the premise of enhancing the gray contrast of the color image, the detail features of the original color image can be better preserved. At the same time, the new method takes into account the computational load of the algorithm, reduces the complexity and time cost of the algorithm, and improves the real-time performance.

Citation Download Citation

Bin Xie, Guanchao Wang, Yan Xu, Shumin Yang, and Yanwei Li "Contrast preserving decolorization method under gradient domain global mapping", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 1261509 (6 April 2023); https://doi.org/10.1117/12.2673945

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KEYWORDS

Image processing

RGB color model

Color

Associative arrays

Color image processing

Visualization

Image contrast enhancement

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