Image Enhancement using Recursive Standard Intensity Deviation Based Clipped Sub Image Histogram Equalization
Sandeepa K S1, Basavaraj N Jagadale2, J S Bhat3
1Sandeepa K S*, Department of Electronics, Kuvempu University, Jnanashyadri, Shimoga, India.
2Basavaraj N Jagadale, Department of Electronics, Kuvempu University, Jnanasahyadri, Shimoga, India.
3J S Bhat, Indian Institute of Information Technology, Surath, India.
Manuscript received on November 17, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3933-3937 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3069129219/2019©BEIESP | DOI: 10.35940/ijeat.B3069.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The low exposure image enhancement has become indispensable inimage processing for better visibility. The most challenging in image enhancement is especially to curtail overenhancement 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.
Keywords: Recursive standard intensity deviation basedhistogram equalization, Clipped histogram, Entropy.