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Research Paper | Computer Science & Engineering | India | Volume 2 Issue 8, August 2013
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
Edition: Volume 2 Issue 8, August 2013,
Pages: 352 - 355
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Research Paper, Computer Science & Engineering, India, Volume 10 Issue 12, December 2021
Pages: 1257 - 1264Digital Image Watermarking Technique Using Discrete Wavelet Transform and Discrete Cosine Transform
Bhupendra Ram
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 826 - 829Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features
A. Mallareddy [2] | A. Priyanka