Abstract
The study used the image enhancement algorithm of histogram compaction equalization based on adaptive thresholds to extend the tonal range of low-contrast chromatic image. The algorithm chooses the thresholds adaptively to achieve the purpose of enhancing the image contrast, details, and sharpness of the low-contrast chromatic image according to its information characteristics of R, G, and B channel. Experimental results show that the algorithm can effectively improve the contrast and sharpness of low-contrast chromatic images, and well preserve the color appearance of the image compared to the traditional histogram equalization image enhancement method and the wavelet-based image enhancement method. The proposed method has good application value.
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Acknowledgments
This study is supported by the National Backbone School Construction Project Fund of Shanghai Publishing and Printing College, and it is the research result of the Bid invitation Project of Shanghai Research Institute of Publishing and Media.
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Kong, L., Nie, P., Sun, Y. (2016). An Enhancement Method of Low-Contrast Chromatic Image Based on Adaptive Threshold. In: Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications, Packaging Technology and Materials. Lecture Notes in Electrical Engineering, vol 369. Springer, Singapore. https://doi.org/10.1007/978-981-10-0072-0_34
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DOI: https://doi.org/10.1007/978-981-10-0072-0_34
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