Results 21 to 30 of about 5,912,595 (286)

Comparative Analysis of Digital Elevation Model Generation Methods Based on Sparse Modeling

Remote Sensing, 2023
With the spread of aerial laser bathymetry (ALB), seafloor topographies are being measured more frequently. Nevertheless, data deficiencies occur owing to seawater conditions and other factors. Conventional interpolation methods generally need to produce
Takashi Fuse, Kazuki Imose
doaj   +1 more source

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise

Frontiers in Computer Science, 2023
In this paper, we aim to segment an image degraded by blur and Poisson noise. We adopt a smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth solution, followed by k-means clustering to segment the image. Specifically for
Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin   +3 more
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Total Variation Wavelet Thresholding [PDF]

Journal of Scientific Computing, 2007
The authors consider the noise removal and reducing edge artifacts generated by wavelet thresholdings in image denoising and compression. It is known that wavelet thresholdings may generate oscillations near discontinuities. Since about 1990, partial differential equations (PDE) models have been used in image processing in the pixel domain [see, e.g., \
Chan, Tony F., Zhou, Haomin
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Structure Tensor Total Variation [PDF]

SIAM Journal on Imaging Sciences, 2015
Summary: We introduce a novel generic energy functional that we employ to solve inverse imaging problems within a variational framework. The proposed regularization family, termed as structure tensor total variation (STV), penalizes the eigenvalues of the structure tensor and is suitable for both grayscale and vector-valued images.
Lefkimmiatis, S, Roussos, A, Maragos, P, Unser, M   +3 more
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Total Variation Isoperimetric Profiles [PDF]

SIAM Journal on Applied Algebra and Geometry, 2019
Applications such as political redistricting demand quantitative measures of geometric compactness to distinguish between simple and contorted shapes. While the isoperimetric quotient, or ratio of area to perimeter squared, is commonly used in practice, it is sensitive to noisy data and irrelevant geographic features like coastline.
Daryl DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon   +3 more
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Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing

Sensors, 2022
Hyperspectral unmixing (HU) is a technique for estimating a set of pure source signals (end members) and their proportions (abundances) from each pixel of the hyperspectral image.
Xiangxiang Jia, Baofeng Guo
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Groupwise Multimodal Image Registration using Joint Total Variation [PDF]

, 2020
In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies.
A Collignon, A Myronenko, A Roche, AV Cideciyan, C Studholme, C Wachinger, C Wu, DL Hill, DN Greve, E Haber, F Maes, FP Oliveira, G Sapiro, J Ashburner, J Huang, J Orchard, JBA Maintz, JP Lewis, JP Pluim, JV Hajnal, M Brudfors, M Polfliet, P Blomgren, P Gerlot-Chiron, P Snape, P Viola, RP Woods, RP Woods, WH Press, WM Wells III, X Bresson, ZS Saad, Ž Spiclin   +32 more
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Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method

Remote Sensing, 2021
Traditional forward-looking super-resolution methods mainly concentrate on enhancing the resolution with ground clutter or no clutter scenes. However, sea clutter exists in the sea-surface target imaging, as well as ground clutter when the imaging scene ...
Weixin Li, Ming Li, Lei Zuo, Hao Sun, Hongmeng Chen, Yachao Li   +5 more
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Directional Total Variation [PDF]

IEEE Signal Processing Letters, 2012
This paper introduces a “directional total variation” (TV) where the gradients are weighted depending on their direction. The introduced directional TV has increased (and tunable) sensitivity to variations at a selected direction. In order to demonstrate the utility of the directional TV, we consider an image denoising formulation.
İlker Bayram, M. E. Kamasak
openaire   +1 more source

A new inequality for the Riemann-Stieltjes integrals driven by irregular signals in Banach spaces

Journal of Inequalities and Applications, 2018
We prove an inequality of the Loéve-Young type for the Riemann-Stieltjes integrals driven by irregular signals attaining their values in Banach spaces, and, as a result, we derive a new theorem on the existence of the Riemann-Stieltjes integrals driven ...
Rafał M Łochowski
doaj   +1 more source