GLOBAL IMAGE CONTRAST ENHANCEMENT ALGORITHM USING HISTOGRAM-MODIFICATION FRAMEWORK

P. Swathi, I. Jithendra, L. Guru Kumar

Abstract: In this paper, we tend to propose a worldwide substitution qualification change algorithmic project misuse based on the histograms of shading and profundity pictures. On the thought about the histogram-change framework, the shading and significance picture histograms area unit[1] begins parcel into sub intervals abusing the Gaussian mix model. The positions apportioning the shading histograms territory unit acclimated to spatially neighbor pixels with an identical power and profundity qualities will be sorted into a proportionate interim. By assessing the mapping bend of the refinement change for each interim, misuse this model worldwide refinement change will be enhanced while not over-improving the local picture capability. Test outcomes demonstrate the ampleness of the anticipated algorithmic system.

Keywords: Contrast enhancement, depth image, histogram modification, histogram partitioning

DOI: https://doi.org/10.15623/ijret.2015.0424017