A Comparative Analysis of Various Image Enhacement Techniques for Facial Images

Saurav, S and Singh, S and Saini, R and Saini, AK and Sharma, N (2015) A Comparative Analysis of Various Image Enhacement Techniques for Facial Images. In: 4th International Conference on Advances in Computing, Communications & Informatics(ICACCI-2015), August 10-13, 2015, SCMS, Aluva, Kochi. (Submitted)

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Image enhancement is one of the most important pre-processing step used in a number of Computer Vision applications. Its importance can be judged by a number of image enhancement algorithms which have been developed over the time for different applications. All these algorithms differ from one another in terms of processing speed, computational complexity, and quality of image and so on. Therefore, in order to exploit the usefulness of these algorithms it is necessary to have their good understanding. With this objective in mind, this paper presents a comparative analysis of six different commonly used image enhancement algorithms. The performance of these algorithms has been measured both quantitatively and qualitatively for different test images. From our analysis, we found that Modified CLAHE outperforms all other techniques in terms of PSNR and AMBE which shows its better contrast enhancement and brightness preservation capabilities.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: HE(Histogram Equalization); AHE(Adaptive Histogram Equalization; CLAHE(Contrast Limited Adaptive Histogram Equalization); PSNR(Peak Signal to Noise Ratio); AMBE(Absolute Mean Brightness Error).
Subjects: Semiconductor Devices > IC Design
Divisions: Semiconductor Devices
Depositing User: Mr. Jitendra Nath Bajpai
Date Deposited: 12 Jan 2017 09:19
Last Modified: 12 Jan 2017 09:19
URI: http://ceeri.csircentral.net/id/eprint/245

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