Contrast Enhancement Techniques: A Survey
Karishma Rao, Archana Agarwal, Sangeeta Dhall · International Journal of Signal Processing Image Processing and Pattern Recognition · 2017
Image Contrast enhancement is one of the important requirement in the field of image processing.It is a process of redistribution the image pixels count over the full intensity range so that image objects stand out more clearly and as a result perception quality improves.Many techniques, for the same are proposed by different researchers in literature and evaluated on the basis of diverse performance metrics such as Absolute Mean Brightness Error (AMBE), Average Information Content (AIC), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and many more.This paper is an effort to perform exhaustive comparison of various Global and Local Contrast enhancement techniques existing in the literature, describing strong and weak areas of various techniques with respect to given performance metrics.These all techniques are implemented in MATLAB 7.0.2.Non-Parametric Modified Histogram Equalization (NPBHE) has shown excellent results in term of various performance metrics.These results can be quite beneficial for the researchers working in this direction.