Open AccessImage Enhancement using Recursive Standard Intensity Deviation Based Clipped Sub Image Histogram Equalization
Author(s) -
K S Sandeepa,
Basavaraj N Jagadale,
J. S. Bhat
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b3069.129219
Subject(s) - histogram equalization , histogram , adaptive histogram equalization , histogram matching , image histogram , artificial intelligence , standard deviation , image enhancement , computer science , visibility , computer vision , image (mathematics) , entropy (arrow of time) , balanced histogram thresholding , pattern recognition (psychology) , image processing , mathematics , statistics , binary image , optics , physics , quantum mechanics
The low exposure image enhancement has become indispensable inimage processing for better visibility. The most challenging in image enhancement is especially to curtail over-enhancement problems. This paper presents a method, performs the separation of the histogram based on respective standard intensity deviation value and then recursively equalizes all sub histograms independently. The over-enhancement problem is minimized by this method. It applies more in an underwater image, because of its low light conditions. The experiment results are analyzed in terms of entropy and output image inspection. The proposed method results show significant improvement over earlier recursive based histogram equalization algorithms.