Informatics Publishing Limited

D. Premnath , S. Uma Maheswari

Abstract

Digital Images are generally corrupted by Impulse noise during the image acquisition process, while Gaussian noise is encountered during transmission. These noises seriously affect the quality of images. It causes degradation of image spatial resolution, loss of image details and distortion of important image features. Therefore it is essential to correct corrupted pixels before using them in any applications. There are numerous approaches have been proposed to reduce these noises independently. Recently, a Switching Bilateral Filter algorithm is proposed which filters both noises using a single filter but with parameters different for Impulse and Gaussian noise.

 Switching Bilateral Filter (SBF) performances poorly for Impulse noise densities beyond 35%. In this thesis, the above algorithm has been modified to detect impulse noise even at high noise densities. The proposed filter is found to yield better quality images in terms of subjective quality and PSNR values compared to Switching Bilateral Filter.

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Achsha Babu ¹, M. Indiraleka ², M. K. Mohan Maruga Raja ³, D. Premnath ⁴

Affiliations
1 Department of Biotechnology, School of Agriculture and Biosciences, Karunya Institute of Technology and Science (Deemed to be University), Coimbatore – 641114, Tamil Nadu, IN
2 Department of Biotechnology, Mepco Schlenk Engineering College, Sivakasi – 626005, Tamil Nadu, IN
3 Department of Pharmacognosy and Phytochemistry, Parul Institute of Pharmacy & Research, Parul University, Limda, Waghodia – 391760, Vadodara, Gujarat, IN
4 Department of Biotechnology, School of Agriculture and Biosciences, Karunya Institute of Technology and Science (Deemed to be University), Coimbatore – 641114, Tamil Nadu, IN

Abstract

COVID-19 is a deadly serious infectious disease caused by SARS-CoV-2, spreading widely with a rise in number of deaths every day. Because of the rapid transmission, various research domains have much responsibility to find a suitable drug or vaccine as soon as possible within a short time to save lives. Plant based chemical constituents serve as potential therapeutics against COVID-19, which is evident by current reports of screening phytochemicals against potential targets by computational techniques. Medicinal plants are used since ancient times and are known highly for their effective treatment of several infectious diseases. This review summarizes the use of medicinal plants to treat COVID-19 infection and aims to draw more attention towards investigating potent chemical constituents from medicinal plants.

Keywords

Antiviral, Phytochemicals, Secondary Metabolites, SARS-CoV-2

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