Research Paper | Computer Science and 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
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
How to Cite this Article?
Jyoti Sahu, Abha Choubey, "Study and Analysis of Multiwavelet Transform with Threshold in Image Denoising: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=02013240, Volume 2 Issue 8, August 2013, 352 - 355
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