Abstract
Histogram equalization (HE) is a simple and widely used method in the field of image enhancement. Recently, various improved HE methods have been developed to improve the enhancement performance, such as BBHE, DSIHE and PC-CE. However, these methods fail to preserve the brightness of original image. To address the insufficient of these methods, an image enhancement method based on quotient space (IEQS) is proposed in this paper. Quotient space is an effective approach that can partitions the original problem in different granularity spaces. In this method, different quotient spaces are combined and the final granularity space is generated using granularity synthesis algorithm. The gray levels in each interval are mapped to the appropriate output gray-level interval. Experimental results show that IEQS can enhance the contrast of original image while preserving the brightness.
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Zhao, T., Wang, G., Xiao, B. (2014). Image Enhancement Based on Quotient Space. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Raś, Z.W. (eds) Rough Sets and Intelligent Systems Paradigms. Lecture Notes in Computer Science(), vol 8537. Springer, Cham. https://doi.org/10.1007/978-3-319-08729-0_40
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DOI: https://doi.org/10.1007/978-3-319-08729-0_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08728-3
Online ISBN: 978-3-319-08729-0
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