Open AccessAn Analysis of Non-Linear Contrast Enhancement Methods of Digital Image
Author(s) -
Thillai Sivakavi Saravanan*,
P. Arockia Jansi Rani
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a1400.059120
Subject(s) - sweetening , contrast (vision) , graph , digital image analysis , computer science , artificial intelligence , chemistry , sweetening agents , computer vision , theoretical computer science , food science
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.