Study of Contrast Enhancement Techniques

Praveen Kumar , Bogiri (2015) Study of Contrast Enhancement Techniques. MTech thesis.



One of the most important issues in the image processing is contrast enhancement. The point of picture enhancement is to enhance the impression of data in pictures for human watchers or interpretability, or to offers the `best' input benefit to the various automated image processing approaches. A digital image processing technique is proposed in order to enhance image contrast without significant noise enhancement. Double threshold segmentation algorithm (DTS) is the main base for the operation of contrast enhancement. DTS divides the image into three effective basic zones such as object zone, transition zone and background zone. DTS delivers two threshold points which can be used for controlling the contrast adjust curve. Fuzzy techniques are a very suitable to manage the elusiveness of this approach efficiently. To signify and process the knowledge of human-being in the form of fuzzy, the fuzzy logic is a potential tool. In recent investigations, many research authors have used fuzzy logic to improve novel image processing algorithms.

Item Type:Thesis (MTech)
Uncontrolled Keywords:Image processing, Contrast Enhancement, Thresholding, Fuzzy Logic.
Subjects:Engineering and Technology > Electronics and Communication Engineering > Image Processing
Divisions: Engineering and Technology > Department of Electronics and Communication Engineering
ID Code:7142
Deposited By:Mr. Sanat Kumar Behera
Deposited On:03 Mar 2016 10:16
Last Modified:03 Mar 2016 10:16
Supervisor(s):Okade , M

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