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Author

Yang Yu

Xuzhou Institute of Technology
Bio: Yang Yu is an academic researcher from Xuzhou Institute of Technology. The author has contributed to research in topics: Curvelet. The author has co-authored 1 publications.
Topics: Curvelet
Papers
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Book Chapter•DOI•
Image Denoising Method Based on Curvelet Transform in Telemedicine.

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Yang Yu1, Dan Li1, Likai Wang, Weiwei Liu, Kailiang Zhang1, Yuan An1 •
Xuzhou Institute of Technology1
28 Aug 2020
TL;DR: Simulation experiments confirm that the new method of image denoising reduces the pseudo Gibbs phenomenon, retains the details and texture of the image better, and obtains better visual effects and higher PSNR values.
Abstract: To resolve the problems that the traditional image denoising methods are easy to lose details such as edges and textures, a new method of image denoising was proposed. It based on the Curvelet denoising algorithm, using polynomial interpolation threshold method, combining with Wrapping and Cycle spinning techniques to determine the adaptive threshold of each Curvelet coefficient for denoising the medical images. Simulation experiments confirm that the new method reduces the pseudo Gibbs phenomenon, retains the details and texture of the image better, and obtains better visual effects and higher PSNR values.