Book ChapterDOI
Image Denoising Method Based on Curvelet Transform in Telemedicine.
Yang Yu,Dan Li,Likai Wang,Weiwei Liu,Kailiang Zhang,Yuan An +5 more
- pp 679-690
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TLDR
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.read more
References
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Towards elimination of the dark‐rim artifact in first‐pass myocardial perfusion MRI: Removing Gibbs ringing effects using optimized radial imaging
Behzad Sharif,Rohan Dharmakumar,Troy M. LaBounty,Troy M. LaBounty,Reza Arsanjani,Chrisandra Shufelt,Louise Thomson,C. Noel Bairey Merz,Daniel S. Berman,Debiao Li,Debiao Li +10 more
TL;DR: An optimized radial acquisition strategy is proposed aimed at eliminating ringing‐induced DRAs in FPP and may lower the diagnostic accuracy for detection of ischemia.
Journal ArticleDOI
Improved Wavelet Denoising by Non-Convex Sparse Regularization Under Double Wavelet Domains
Yongjun Wu,Guangjun Gao,Can Cui +2 more
TL;DR: The DWAD is applied to one-dimensional signals and it is found that some wavelet coefficients which are smaller than the threshold could be retained during noise removal and tends to obtain better performance on the details of original signals.
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Efficient iris recognition through curvelet transform and polynomial fitting
TL;DR: A new feature descriptor for iris recognition that makes use of the wedge-shaped sub-bands of the curvelet transform, which allow it to cover the complete frequency spectrum, to characterize the iris images.
Journal ArticleDOI
Attack resistant watermarking technique based on fast curvelet transform and Robust Principal Component Analysis
TL;DR: The quantitative and visual results reveal that the watermarking technique proposed is more efficient and provides high tolerance against different geometric and image processing attacks.