Intensity Transformation using Contrast Limited Adaptive Histogram Equalization

Histograms are the basis for numerous spatial domain image processing techniques. Histogram manipulation can be used effectively for image enhancement. In addition to providing image statistics, the information inherent in the histogram is also quiet useful in other image processing applications, such as image compression and segmentation. Histograms are simple in manipulation as well as economic for hardware implementations, thus making it a useful tool for image processing. Present study shows - how much it is effective to use Histogram Equalization method for image transformation, its problems and the way-outs in terms of application of Contrast Limited Adaptive Histogram Equalization (CLAHE) technique. The study undertaken is followed by a number of experimental evidences supporting to the empirical findings.