Pushpa Koranga
Department of Electronics and Communication Engineering, Graphic Era Hill University, Bhimtal Campus, Nainital, Uttarakhand, India.

Garima Singh
Department of Electronics and Communication Engineering, Graphic Era Hill University, Bhimtal Campus, Nainital, Uttarakhand, India.

Dikendra Verma
Department of Electronics and Communication Engineering, Graphic Era Hill University, Bhimtal Campus, Nainital, Uttarakhand, India.

Shshank Chaube
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India.

Anuj Kumar
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India.

Sangeeta Pant
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2018.3.4-032

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Abstract

The image often contains noises due to several factors such as a problem in devices or due to an environmental problem etc. Noise is mainly undesired information, which degrades the quality of the picture. Therefore, image denoising method is adopted to remove the noises from the degraded image which in turn improve the quality of the image. In this paper, image denoising has been done by wavelet transform using Visu thresholding techniques for different wavelet families. PSNR (Peak signal to noise ratio) and RMSE (Root Mean Square Error) value is also calculated for different wavelet families.

Keywords- Wavelet transform, DWT, Hard threshold, Soft threshold.

Citation

Koranga, P., Singh, G., Verma, D., Chaube, S., Kumar, A., & Pant, S. (2018). Image Denoising Based on Wavelet Transform using Visu Thresholding Technique. International Journal of Mathematical, Engineering and Management Sciences, 3(4), 444-449. https://dx.doi.org/10.33889/IJMEMS.2018.3.4-032.