Friday, 14 Jun, 2024




A Hybrid Method for Color Image De-noising

Rungta International Journal of Electrical and Electronics Engineering

Volume 1 Issue 2, 3 & 4

Published: 2016
Author(s) Name: Supriya Tiwari, Nitin Naiyar | Author(s) Affiliation: Reader (ET&T dept) RCET Bhilai, Chhattisgarh, India
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This paper proposes a comparison between adaptive wavelet thresholding, Non-Parametric Regression and Hybrid method based on SNR (Signal to Noise Ratio) and MSE (Mean Square Error). First method uses Wavelet Transform for de-noising of image. The proposed threshold is closed-form and simple, because it depends on data-driven estimates of the parameters so it is adaptive to each sub band. In second method, an image De-Noising procedure is proposed, based on Non-parametric estimation of a jump surface from noisy data. The third method is a hybrid of the above mentioned two methods. In this the output of adaptive wavelet thresholding method is fed as input to the Non-parametric regression method.

Keywords: Advance Adaptive Wavelet Thresholding

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