An Analysis of Non-Linear Contrast Enhancement Methods of Digital Image
Thillai Sivakavi Saravanan1, Shenbaga Priya V2
1Thillai Sivakavi Saravanan*, Department of Information Technology, Panimalar Institute of Technology, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu, India.
2Shenbaga Priya V, Department of Computer Science, Computer Applications School of Computer Information and Mathematical Sciences B.S. Abdur Rahman Crescent Institute of Science & Technology Seethakathi Estate GST Road(Chennai-Trichy National Highway, NH45, Vandalur, Tamil Nadu, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 850-853 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1400059120/2020©BEIESP | DOI: 10.35940/ijrte.A1400.059120
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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: Digital image distinction sweetening is that the technique of enhancing the character of the digital image by using varied strategies so as to seem higher. Image distinction sweetening techniques ar divided into Linear and Non-Linear distinction sweetening. Linear distinction sweetening works by increasing the first input worth of the info associate degreed Non -linear distinction sweetening normally works by utilizing bar graph feat through the utilization of an rule. This paper analyses the non-linear distinction sweetening techniques in terms of image sweetening. From the analysis, it’s found that bar graph feat outperforms alternative non-linear distinction sweetening techniques.
Keywords: Image Enhancement, Non-Linear contrast Enhancement, Contrast Enhancement, Histogram Equalization.
Scope of the Article: Image analysis and Processing