The aim of image enhancement is to or to provide ‘better’ input for other improve the interpretability or perception of information in images for human viewing automated image processing techniques. Various Histogram Equalization techniques like CHE, GHE, BBHE, DSIHE, RMSHE and Multi-HE techniques are used for processing the image input to enhance its output.
CITATION STYLE
Kuber, M. P., & Dixit, M. (2014). A Review on Modified Image Enhancement Applications. International Journal of Signal Processing, Image Processing and Pattern Recognition, 7(5), 71–78. https://doi.org/10.14257/ijsip.2014.7.5.07
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