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Multi-scale image denoising based on goodness of fit (GOF) tests

ur Rehman, Naveed and Naveed, Khuram and Ehsan, Shoaib and McDonald-Maier, Klaus (2016) Multi-scale image denoising based on goodness of fit (GOF) tests. In: 2016 24th European Signal Processing Conference (EUSIPCO), 2016-08-29 - 2016-09-02, Budapest.

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A novel image denoising method based on discrete wavelet transform (DWT) and goodness of fit (GOF) statistical tests employing empirical distribution function (EDF) statistics is proposed. We formulate the denoising problem into a hypothesis testing problem with a null hypothesis corresponding to the presence of noise, and alternate hypothesis representing the presence of only desired signal in the image samples being tested. The decision process involves GOF tests, employing statistics based on EDF, being applied directly on multiple image scales obtained from DWT. We evaluate the performance of the proposed method against the state of the art in wavelet image denoising through extensive experiments performed on standard images.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2016 24th European Signal Processing Conference (EUSIPCO)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 21 Jul 2020 15:07
Last Modified: 21 Jul 2020 16:15

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