- Enter the dist directory, and then execute the command in the terminal.
pip install ContrastEnhancement-0.0.1-py2.py3-none-any.whl
- If you wanna test the algorithm, you can put the images into data file and enter this command as follows:
python test.py -name *.jpg -gamma 0.00
The local contrast enhancement can be controlled by the gamma parameter in the range [0,1], the larger the gamma is, the more details the algorithm produces.
- The original images are shown on the left, and the enhanced image on the right.
Raw Image | Enhanced Image |
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QRCM: This measure considers both the level of relative contrast enhancement between input and output images and distortions resulting from the enhancement process. The measure produces a number in the range [−1, 1] where -1 and 1 refer to full level of contrast degradation and improvement, respectively.
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References
[1] Spatial Entropy-Based Global and Local Image Contrast Enhancement
[2] Spatial Mutual Information and PageRank-Based Contrast Enhancement and Quality-Aware Relative Contrast Measure