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Wavelet thresholding based de-noising technique for color image

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Title: Wavelet thresholding based de-noising technique for color image

Authors: Jeevan K. M., Anne Gowda A., M. Ramesha

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2020

Volume: 15

Issue: 24

Language: English

Categories
Signal Processing (1285) Wavelet Transform (21) Denoising (3) Color Images (2) Image Processing (1456)

Abstract

Image de-noising is an important part in every image processing techniques. At the same time it can be considered as one of the primary challenges in image processing and computer vision. This paper describes wavelet thresholding based de-noising technique for color images. In this method the optimal threshold is determined using NeighShrink thresholding method with Stein’s unbiased risk estimate (SURE). Mean square error (MSE) and peak signal to ratio (PSNR) are used for the evaluation of image quality after de-noising.

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