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Paper Title: Edge Preserving Denoising Techniques Using DWT and NHA Methods
Authors Name: Chaitra B T , Ajay Betur P
Unique Id: IJRTI1709023
Published In: Volume 2 Issue 9, September-2017
Abstract: Wavelet Transform also has a localized nature like DCT both in space and time. In this method, the edge preservation of images is an important fact. Thus, it gives better results than DCT. There are many types of wavelet domain filters. Among different types of wavelet filters, Discrete Wavelet Transform (DWT) gives better results for image denoising. It obtains high PSNR value than DCT technique, because it reduces blocking artifacts in images. White Gaussian noise of zero mean can be removed by using frequency analysis method of high resolution. The noise component cannot be easily remove from original image component while using processing technique DCT due to sidelobes are observed in the images. Thus, 2D non-harmonic analysis (2D NHA) technique that is used for reducing noise in images. It is a frequency analysis technique of high resolution which increases noise reduction accuracy due to its sidelobe reducing quality. The NHA denoising method obtain increased PSNR value than DCT and DWT techniques.
Keywords: Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Non Harmonic Analysis (NHA), Steepest Descent Method, PSNR.
Cite Article: "Edge Preserving Denoising Techniques Using DWT and NHA Methods", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.2, Issue 9, page no.142 - 149, September-2017, Available :
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Publication Details: Published Paper ID: IJRTI1709023
Registration ID:170539
Published In: Volume 2 Issue 9, September-2017
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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