Study and Analysis of Multiwavelet Transform with Threshold in Image Denoising: A Survey

Jyoti Sahu, Abha Choubey

Abstract: Removing noise from the Medical image is still a challenging problem for researchers. Noise added is not easy to remove from the images. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. This paper summarizes the major techniques to denoise the medical images and finds the one is better for image denoising. We can conclude that the Multiwavelet technique with Soft threshold is the best technique for image denoising.

Keywords: Wavelet, Multiwavelet, Image denoising, Gaussian noise, Speckle noise linear filters, Wavelet transform

How to Cite?: Jyoti Sahu, Abha Choubey, "Study and Analysis of Multiwavelet Transform with Threshold in Image Denoising: A Survey", Volume 2 Issue 8, August 2013, International Journal of Science and Research (IJSR), Pages: 352-355, https://www.ijsr.net/getabstract.php?paperid=02013240, DOI: https://dx.doi.org/10.21275/02013240