Results 111 to 120 of about 17,778 (310)

OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms. [PDF]

Bioengineering (Basel), 2023
Zhdanov A, Constable P, Manjur SM, Dolganov A, Posada-Quintero HF, Lizunov A.   +5 more
europepmc   +1 more source

Invisible Polymer Walls Enhance Reorientational Optical Nonlinearity in Oligothiophene‐Doped Liquid Crystals

Advanced Functional Materials, EarlyView.
The polymer wall stabilized dye‐doped liquid crystals (PWLCs) enhance the sensitivity of photoinduced molecular reorientation in dye‐doped LC systems. The PWLC with an invisible polymer wall successfully reduces the threshold intensity and functions as an optical limiter under the incidence of low intensity light laser source.
Junki Yokota, Yuya Nakata, Erika Katayama, Miho Aizawa, Kyohei Hisano, Shoichi Kubo, Atsushi Shishido   +6 more
wiley   +1 more source

Hyperanalytic denoising

, 2007
A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
core  

Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC

Advanced Functional Materials, EarlyView.
The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi, Minh Tuan Luu, Christopher Linderälv, Vytautas Žalandauskas, Marianne Etzelmüller Bathen, Nguyen Tien Son, Takeshi Ohshima, Gergő Thiering, Lukas Razinkovas, Ronald Ulbricht   +9 more
wiley   +1 more source

Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification

, 2006
—We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel’s feature vector. Feature vectors are composed of the pixel’
Michael J. Cree, João V. B. Soares, Herbert F. Jelinek, Cesar, R.M., Jr., Jorge J. G. Le, Senior Member, Roberto M. Cesar, Jelinek, H.F., Soares, J.V.B., Leandro, J.J.G., Cree, Michael J.   +10 more
core   +1 more source

Adaptive wavelet transforms via lifting

, 2006
Conference paperThis paper develops two new adaptive wavelet transforms based on the lifting scheme. The lifting construction exploits a spatial-domain, prediction-error interpretation of the wavelet transform and provides a powerful framework for ...
R.L. Claypoole, R.G. Baraniuk, Nowak, Robert David, Baraniuk, Richard G., Claypoole, Roger L., R.D. Nowak   +5 more
core   +2 more sources

Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy

, 2005
Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina.
Mitchell, P., Jelinek, Herbert J., Cesar, R.M., Jr., Cornforth, D.J., Bossomaier, T., Leandro, J.J.G., Soares, J.V.B., Cree, Michael J.   +7 more
core  

Spiking Wavelet Transformer

Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep learning by emulating the event-driven processing manner of the brain. Incorporating Transformers with SNNs has shown promise for accuracy. However, they struggle to learn high-frequency patterns, such as moving edges and pixel-level brightness changes, because ...
Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu   +5 more
openaire   +2 more sources

Demon Registration for 2D Empirical Wavelet Transforms

Foundations
The empirical wavelet transform is a fully adaptive time-scale representation that has been widely used in the last decade. Inspired by the empirical mode decomposition, it consists of filter banks based on harmonic mode supports.
Charles-Gérard Lucas, Jérôme Gilles
doaj   +1 more source

A STATISTICAL SHARPNESS MEASURE BASED MULTI FOCUS IMAGE FUSION USING DOUBLE DENSITY DISCRETE WAVELET TRANSFORM [PDF]

ICTACT Journal on Image and Video Processing, 2013
Image fusion is the process of combining two or more images of the same scene to form the fused image retaining important features from each image with extended information content.
K. Kannan, S. Arumuga Perumal
doaj