Results 71 to 80 of about 1,159 (170)

DM-Free Curvelet Based Denoising for Astronomical Single Pulse Detection

IEEE Access, 2019
Rotating radio transients (RRATs) are sporadically emitting pulsars which are detected only through single pulse search. Detecting these single pulses in RRATs observation with high detection accuracy is a challenge due to the background noise.
Min Jiang, Bingyi Cui, Yu-Feng Yu, Zhicheng Cao   +3 more
doaj   +1 more source

Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model

Earth, Planets and Space
In airborne electromagnetic data processing, correcting leveling errors is critical for ensuring data accuracy. Traditional leveling methods predominantly rely on time-domain and frequency-domain analysis to characterize leveling errors.
Qiong Zhang, Xin Chen, Haomiao Wang, Zhonghang Ji, Fei Yan, Yunqing Liu   +5 more
doaj   +1 more source

An integrated scheme to improve pan-sharpening visual quality of satellite images

Egyptian Informatics Journal, 2015
Pan-sharpening is the process to fuse a low-resolution multispectral (MS) image with a high-resolution panchromatic (Pan) image to construct high spatial and spectral resolution MS image.
A.K. Helmy, Gh.S. El-Tawel
doaj   +1 more source

An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics

Dianxin kexue, 2019
Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking ...
Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU   +5 more
doaj   +2 more sources

Seismic denoising using curvelet analysis

Physica A: Statistical Mechanics and its Applications, 2012
AbstractA curvelet is a new and effective spectral transform, that allows sparse representations of complex data. It has many applications in several fields, including denoising, wave propagation in disordered media and pattern recognition. This spectral technique is based on directional basis functions that represent objects having discontinuities ...
Oliveira, M.S., Henriques, M.V.C., Leite, F.E.A., Corso, G., Lucena, L.S.   +4 more
openaire   +1 more source

FUSION OF WAVELET AND CURVELET COEFFICIENTS FOR GRAY TEXTURE CLASSIFICATION [PDF]

ICTACT Journal on Image and Video Processing, 2014
This study presents a framework for gray texture classification based on the fusion of wavelet and curvelet features. The two main frequency domain transformations Discrete Wavelet Transform (DWT) and Discrete Curvelet Transform (DCT) are analyzed.
M. Santhanalakshmi, K. Nirmala
doaj  

Curvelet-based seismoelectric data processing

, 2012
Seismoelectromagnetic conversions are induced through electrokinetic phenomena occurring when passing seismic waves induce relative fluid to solid displacements. Information on porous material properties provided by the type I coseismic electric field accompanying surface and body waves is limited to the vicinity of the electrical receivers, as opposed
Warden, Sheldon, Garambois, Stéphane, Sailhac, Pascal, Jouniaux, Laurence, Bano, Maksim   +4 more
openaire   +3 more sources

Efficient thermal face recognition method using optimized curvelet features for biometric authentication. [PDF]

PLoS One, 2023
Ali MAS, Meselhy Eltoukhy M, Rajeena P P F, Gaber T.   +3 more
europepmc   +1 more source

Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering

Remote Sensing
Change detection for synthetic aperture radar (SAR) images effectively identifies and analyzes changes in the ground surface, demonstrating significant value in applications such as urban planning, natural disaster assessment, and environmental ...
Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou, Rui Zou   +5 more
doaj   +1 more source

Diabetic retinopathy grading using curvelet CNN with optimized SSO activations and wavelet-based image enhancement

Ain Shams Engineering Journal
Background: Diabetic retinopathy (DR) is a significant risk of blindness among diabetic patients, necessitating early and accurate detection. Existing methods often fall short in identifying key markers like hard exudates (HE), leading to challenges in ...
N. Mohana Suganthi, M. Arun
doaj   +1 more source