Results 1 to 10 of about 53,992 (120)
Orthonormal finite ridgelet transform for image compression [PDF]
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000 A finite implementation of the ridgelet transform is presented. The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore we show that this transform is orthogonal hence it allows one to use non-linear approximations for the representation of images. Numerical results on different test images are shown.
Minh N. Do, Martin Vetterli
exaly +3 more sources
Patch based image denoising using the finite ridgelet transform for less artifacts
Journal of Visual Communication and Image Representation, 2014 Abstract Patch based denoising methods have proved to lead to state-of-the-art results. However, in contrast with intensive pursuing of higher peak signal to noise ratio (PSNR), less attention is paid to visual quality improvement of denoised images. In this paper, we first compare the denoising performance in edge and smooth regions.
Nf Law
exaly +3 more sources
Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection [PDF]
Diagnostics, 2023 Every year, cervical cancer is a leading cause of mortality in women all over the world. This cancer can be cured if it is detected early and patients are treated promptly.
Saravanan Srinivasan +5 more
doaj +2 more sources
Image denoising method integrating ridgelet transform and improved wavelet threshold. [PDF]
PLoS OneIn the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Li B, Cong Y, Mo H.
europepmc +2 more sources
Image denoising using orthonormal finite ridgelet transform [PDF]
SPIE Proceedings, 2000 This paper addresses the image denoising problem using a newly proposed digital image transform: the finite rigdelet transform (FRIT). The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore this transform can be designed to be orthonormal thus indicating its potential in many other image processing applications.
Minh N. Do, Martin Vetterli
openaire +2 more sources
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing, 2003 The ridgelet transform was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. We propose an orthonormal version of the ridgelet transform for discrete and finite-size images. Our construction uses the finite Radon transform (FRAT) as a building block.
Martin Vetterli, Minh N Do
exaly +4 more sources
Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications [PDF]
Journal of Universal Computer Science, 2022 Watermarking is a valuable technique for verifying medical images obtained through the internet for diagnosis. There is a greater need for security in medical pictures with ever- increasing security risks.
Lalan Kumar, Kamred Udham Singh
doaj +3 more sources
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis [PDF]
International Conference on Machine Learning, 2022 Neural network on Riemannian symmetric space such as hyperbolic space and the manifold of symmetric positive deļ¬nite (SPD) matrices is an emerging subject of research in geometric deep learning.
Sho Sonoda, Isao Ishikawa, M. Ikeda
semanticscholar +1 more source
A Novel Optimized Semi-Blind Scheme for Color Image Watermarking
IEEE Access, 2020 Image watermarking is a robust solution for solving key issues like copyright protection and proof of ownership of digital data. Existing schemes of image watermarking mostly used grayscale or binary images as embedded watermarks, while only a few ...
Adnan Mustafa Cheema +2 more
doaj +1 more source
The ridgelet transform and quasiasymptotic behavior of distributions [PDF]
, 2015 We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ridgelet transforms.Comment: 13 ...
Kostadinova, Sanja +3 more
core +2 more sources