Standard Deviation and Mode Based Bi-Histogram Equalization Algorithm for Image Enhancement
| Autor: | Kuldip Acharya, Dibyendu Ghoshal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Image quality
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Mode (statistics) Pattern recognition Standard deviation Clipping (photography) Computer Science::Computer Vision and Pattern Recognition Histogram Artificial intelligence Entropy (energy dispersal) business Histogram equalization Image histogram Mathematics |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3768018 |
| Popis: | This paper presents an enhancement method for image enhancement in poor lighting condition. Standard deviation and mode are computed on the image histogram. Histogram clipping process is done to limit the rate of over enhancement by mode-based threshold value. The clipped histogram is divided into two segments founded on a threshold value computed by the standard deviation on the image histogram. Two sub-images of the individual histogram are equalized and combined to form the output image that preserves the entropy and produced better contrast enhancement image. The results in terms of Universal Image Quality Index (UIQI), and Entropy, for images, have been simulated on MATLAB. The outcomes produced by the proposed method have been ompared with the results gotten from existing image enhancement methods. It has been observed from the outcomes that proposed method outperform previous methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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