Comparative Study of Major Image Enhancement Algorithms | Zendy

Amrutha Kulkarni | Zendy; Shanta Rangaswamy | Zendy; S Mamani | Zendy

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Comparative Study of Major Image Enhancement Algorithms

Author(s) -

Amrutha Kulkarni,

Shanta Rangaswamy,

S Mamani

Publication year - 2017

Publication title -

european journal of engineering and technology research

Language(s) - English

Resource type - Journals

ISSN - 2506-8016

DOI - 10.24018/ejers.2017.2.7.389

Subject(s) - image restoration , image (mathematics) , image quality , computer science , process (computing) , artificial intelligence , degradation (telecommunications) , algorithm , computer vision , inverse , image enhancement , image processing , pattern recognition (psychology) , mathematics , telecommunications , geometry , operating system

Image restoration is a process of reconstruction or recovery of an image that has been corrupted or degraded by any degradation phenomenon. Image restoration techniques are inclined towards modeling the degradation and applying the inverse process in order to recover the original image. The critical goal of restoration techniques is to improve the quality of an image in some predefined manner. This present paper is a comparative study of image enhancement techniques used for improving the quality of a given image and evaluate it against the quality of a given image and evaluate it against SNR, PSNR, MSE, and SSIM as metrics.

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