Results 21 to 30 of about 53,992 (120)

Recovering edges in ill-posed inverse problems: optimality of curvelet frames [PDF]

open access: yes, 2002
We consider a model problem of recovering a function $f(x_1,x_2)$ from noisy Radon data. The function $f$ to be recovered is assumed smooth apart from a discontinuity along a $C^2$ curve, that is, an edge.
Candès, Emmanuel J., Donoho, David L.
core   +1 more source

Blind image separation using pyramid technique

open access: yesEURASIP Journal on Image and Video Processing, 2018
Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems.
M. Y. Abbass, HyungWon Kim
doaj   +1 more source

Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

open access: yesOpen Physics, 2016
Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications.
Jude Hemanth Duraisamy   +3 more
doaj   +1 more source

Combined effect of neolamarckia cadamba leaves and electroporation method on hela cell anti- proliferation process [PDF]

open access: yes, 2019
This study suggests that natural sources may become an important tool in treating cancer. Neolamarckia cadamba (NC) leaves also well-known as “Anthocephalus Cadamba”, is a precious plant in Ayurvedic medicine.
Abd Rahman, Nur Adilah   +6 more
core   +1 more source

Scale-discretised ridgelet transform on the sphere [PDF]

open access: yes, 2019
We revisit the spherical Radon transform, also called the Funk-Radon transform, viewing it as an axisymmetric convolution on the sphere. Viewing the spherical Radon transform in this manner leads to a straightforward derivation of its spherical harmonic ...
candes   +12 more
core   +2 more sources

A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks [PDF]

open access: yesJournal of Statistical Planning and Inference
To investigate neural network parameters, it is easier to study the distribution of parameters than to study the parameters in each neuron. The ridgelet transform is a pseudo-inverse operator that maps a given function $f$ to the parameter distribution $\
Sho Sonoda   +2 more
semanticscholar   +1 more source

Ridgelets and the representation of mutilated Sobolev functions [PDF]

open access: yes, 2001
We show that ridgelets, a system introduced in [E. J. Candes, Appl. Comput. Harmon. Anal., 6(1999), pp. 197–218], are optimal to represent smooth multivariate functions that may exhibit linear singularities.
Candès, Emmanuel J.
core   +1 more source

Curvelets and Ridgelets [PDF]

open access: yes, 2009
International audienceDespite the fact that wavelets have had a wide impact in image processing, they fail to efficiently represent objects with highly anisotropic elements such as lines or curvilinear structures (e.g. edges). The reason is that wavelets
Fadili, Jalal M., Starck, Jean-Luc
core   +3 more sources

The framework of P systems applied to solve optimal watermarking problem [PDF]

open access: yes, 2014
Membrane computing (known as P systems) is a novel class of distributed parallel computing models inspired by the structure and functioning of living cells and organs, and its application to the real-world problems has become a hot topic in recent years.
Peng, Hong   +3 more
core   +1 more source

Directional Multifractal Analysis in the Lp Setting

open access: yesJournal of Function Spaces, Volume 2019, Issue 1, 2019., 2019
The classical Hölder regularity is restricted to locally bounded functions and takes only positive values. The local Lp regularity covers unbounded functions and negative values. Nevertheless, it has the same apparent regularity in all directions. In the present work, we study a recent notion of directional local Lp regularity introduced by Jaffard. We
Mourad Ben Slimane   +5 more
wiley   +1 more source

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