Results 161 to 170 of about 1,320 (180)

Global semantic classification of scenes using ridgelet transform

SPIE Proceedings, 2004
In recent years, new harmonic analysis tools providing sparse representation in high dimension space have been proposed. In particular, ridgelets and curvelets bases are similar to the sparse components of naturally occurring image data derived empirically by computational neuroscience researchers.
Samuel Foucher, Valérie Gouaillier, Langis Gagnon   +2 more
openaire   +1 more source

Color Image Compression Using Wavelet and Ridgelet Transform

2010 Seventh International Conference on Information Technology: New Generations, 2010
Image Compression is a widely explored research area. Many compression standards are existing. But still there is a scope for higher compression with quality reconstruction. The introduction of wavelets gave a different dimension to the compression. This paper aims at exploration of use of Ridgelet Transform and Wavelet Transform for color images.
Madhuri Satish Joshi, R. R. Manthalhkar, Y. V. Joshi   +2 more
openaire   +1 more source

Robust Watermarking Scheme in Finite Ridgelet Transform Domain

2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008
How to select the finite ridgelet transform (FRIT) coefficients which were suitable to embed watermark data was an interesting problem. Digital watermarking algorithms in FRIT domain were accomplished by modulating the transform coefficients, which represented the most energetic direction of an image.
Ruiling Zhu, Xin Wang
openaire   +1 more source

Pseudo Ridgelet Transform for Image Denoising

2009 WASE International Conference on Information Engineering, 2009
Wavelet transforms have been successfully used in many scientific fields such as image denoising. Ridgelets is a new system of representations, which deals effectively with line singularities in 2-D. However, the discrete version of the ridgelet transform would result in either redundancy or non-reconstruction.
openaire   +1 more source

A Continuous Transform for Localized Ridgelets

2023 International Conference on Sampling Theory and Applications (SampTA), 2023
Joseph Shenouda, Rahul Parhi, Robert D. Nowak   +2 more
openaire   +1 more source

Ridgelet Transforms of Functions in Banach lattices

We establish a reproducing formula for the ridgelet transform on $\mathbb{R}^n$ in the framework of Banach lattices introduced in a recent paper by Nieraeth. Our approach is based on the $k$-plane Radon transform and a wavelet-type reconstruction operator acting on functions defined on the Grassmannian of $k$-dimensional affine planes.
Izuki, Mitsuo, Noi, Takahiro, Sawano, Yoshihiro, Tanaka, Hirokazu   +3 more
openaire   +1 more source

On the double windowed ridgelet transform and its inverse

Integral Transforms and Special Functions, 2020
Tamotu Kinoshita
exaly  

The Ridgelet and Curvelet Transforms

2010
openaire   +1 more source

Polar linear canonical ridgelet transform

Digital Signal Processing
Rong-Qian Linghu, Bing-Zhao Li
openaire   +1 more source

Human Activity Recognition Using Gabor Wavelet Transform and Ridgelet Transform

Procedia Computer Science, 2015
Rajiv Kapoor
exaly