A study on distortion estimation based on image gradients

Chin, Sin Chee and Chow, Chee-Onn and Kanesan, Jeevan and Chuah, Joon Huang (2022) A study on distortion estimation based on image gradients. Sensors, 22 (2). ISSN 1424-8220, DOI https://doi.org/10.3390/s22020639.

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Image noise is a variation of uneven pixel values that occurs randomly. A good estimation of image noise parameters is crucial in image noise modeling, image denoising, and image quality assessment. To the best of our knowledge, there is no single estimator that can predict all noise parameters for multiple noise types. The first contribution of our research was to design a noise data feature extractor that can effectively extract noise information from the image pair. The second contribution of our work leveraged other noise parameter estimation algorithms that can only predict one type of noise. Our proposed method, DE-G, can estimate additive noise, multiplicative noise, and impulsive noise from single-source images accurately. We also show the capability of the proposed method in estimating multiple corruptions.

Item Type: Article
Funders: Impact Oriented Interdisciplinary Research Grant (IIRG) Programme, University of Malaya[IIRG002B-19IISS]
Uncontrolled Keywords: Noise;Distortion estimation;Multiple corruption estimation; Image gradients
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 04 Aug 2022 06:17
Last Modified: 04 Aug 2022 06:17
URI: http://eprints.um.edu.my/id/eprint/33533

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