Enhanced Intelligent Automated Method to MSRCR Algorithm for Image Enhancement
Immanuel K.1, Dinesh Kumar A.2, Praveen Kumar E.3
1Immanuel K., Assistant Professor, Department of ECE, St. Joseph’s Institute of Technology, Chennai, India.
2Dinesh Kumar A., Assistant Professor, Department of ECE, St. Joseph’s Institute of Technology, Chennai, India.
3Praveen Kumar E., Assistant Professor, Department of ECE, St. Joseph’s Institute of Technology, Chennai, India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1398-1401 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5489029320/2020©BEIESP | DOI: 10.35940/ijeat.C5489.029320
Open Access | Ethics and Policies | Cite | Mendeley
© 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 images captured by a camera may need tweaking based on the lighting situations present at the scene captured. The extremities in the lighting and the position of the object may sometime degrade the image captured. To have a right image all the time this concept was developed. This paper focuses on the automated procedure which rides over the Multi Scale Retinex with Colour Restoration Algorithm for best possible results. This is a completely automated approach where the user need not do anything apart from giving the image as the input. The main problems in photography are overcome to a great extent using this procedure.
Keywords: MSRCR, High Key, Low Key, Histogram Equalisation..