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Brightness Preserving Dynamic Fuzzy Histogram Equalization
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DOI：10.1109/TCE.2010.5681130.png)
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摘要
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This paper proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. The modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE(1)), uses fuzzy statistics of digital images for their representation and processing. Representation and processing of images in the fuzzy domain enables the technique to handle the inexactness of gray level values in a better way, resulting in improved performance. Execution time is dependent on image size and nature of the histogram, however experimental results show it to be faster as compared to the techniques compared here. The performance analysis of the BPDFHE along with that for BPDHE has been given for comparative evaluation.
Keyword:
Fuzzy sets
image enhancement
image processing
video signal processing
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10.9
论文数:
5.3K
被引数:
6.8K
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Brightness preserving histogram equalization with maximum entropy: A variational perspective基于最大熵的亮度保持直方图均衡化: 变分观点
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