Abstract
Image enhancement algorithms based on Histogram equalization (HE) often fall short to maintain the image quality after enhancement due to quantum jump in the cumulative distribution function (CDF) in the histogram. Moreover, some detail parts appear to be washed out after enhancement. To solve this problem, we propose an algorithm, which enhance the image details parts separately and combine it with the enhanced image using a weighted function. This gives a way to control the enhancement of the details improving the quality of the image. Experiments show that the proposed method performs well as compared to the existing enhancement algorithms.
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Naushad Ali, M.M., Abdullah-Al-Wadud, M. (2012). Image Enhancement Using a Modified Histogram Equalization. In: Kim, Th., Mohammed, S., Ramos, C., Abawajy, J., Kang, BH., Ślęzak, D. (eds) Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition. ICHCI WSE SIP 2012 2012 2012. Communications in Computer and Information Science, vol 342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35270-6_3
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DOI: https://doi.org/10.1007/978-3-642-35270-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35269-0
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