This paper is published in Volume-5, Issue-4, 2019
Area
Image Processing
Author
Jyoti Pandey
Co-authors
Dr. Krishna Raj
Org/Univ
Harcourt Butler Technical University, Kanpur, Uttar Pradesh, India
Pub. Date
19 July, 2019
Paper ID
V5I4-1226
Publisher
Keywords
Haze removal, Noise reduction, Dark Channel Prior (DCP), Peak Signal to Noise Ratio (PSNR)

Citationsacebook

IEEE
Jyoti Pandey, Dr. Krishna Raj. Peak Signal to Noise Ratio analysis in single image restoration technique, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jyoti Pandey, Dr. Krishna Raj (2019). Peak Signal to Noise Ratio analysis in single image restoration technique. International Journal of Advance Research, Ideas and Innovations in Technology, 5(4) www.IJARIIT.com.

MLA
Jyoti Pandey, Dr. Krishna Raj. "Peak Signal to Noise Ratio analysis in single image restoration technique." International Journal of Advance Research, Ideas and Innovations in Technology 5.4 (2019). www.IJARIIT.com.

Abstract

Images have a wide significance these days for detailed observation in different fields like remote sensing, and navigation. When images got captured by the image acquisition equipment, they got affected by environmental effects. These environmental effects are haze, smog, fog which cannot be ignored while acquisition. Such type of effects should be reduced so that images can be accurately observed. These effects can be considered as noise in our work. These effects are difficult to reduce efficiently while acquisition. Therefore, there arises a need for an algorithm to process the noisy image after capturing. In our work, Dark Channel Prior (DCP) technique is used for the de-noising purpose and our focus is on the refining of the estimated transmission map so that a noise-less image can be recovered. The efficient noise reduction is determined by the Peak Signal to Noise Ratio (PSNR) value. PSNR value is the evaluation parameter which is used to determine that the proposed work has improved the performance compared to recently introduced approaches. An analysis of our proposed method and other research work is shown.
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