Results 11 to 20 of about 17,556,704 (381)
Image Restoration using Total Variation Regularized Deep Image Prior [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.
Kamilov, Ulugbek S. +3 more
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Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Mining structural priors in data is a widely recognized technique for hyperspectral image (HSI) denoising tasks, whose typical ways include model-based methods and data-based methods.
Jiangjun Peng +5 more
semanticscholar +1 more source
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement [PDF]
IEEE International Conference on Computer Vision, 2021 Real-world low-light images suffer from two main degradations, namely, inevitable noise and poor visibility. Since the noise exhibits different levels, its estimation has been implemented in recent works when enhancing low-light images from raw Bayer ...
Chuanjun Zheng, D. Shi, Wentian Shi
semanticscholar +1 more source
On Approximating Total Variation Distance [PDF]
International Joint Conference on Artificial Intelligence, 2022 Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain {0,1}^n.
Arnab Bhattacharyya +5 more
semanticscholar +1 more source
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module [PDF]
IEEE International Conference on Robotics and Automation, 2020 Semantic segmentation of point clouds is a key component of scene understanding for robotics and autonomous driving. In this paper, we introduce TORNADO-Net - a neural network for 3D LiDAR point cloud semantic segmentation.
Martin Gerdzhev +3 more
semanticscholar +1 more source
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
Global Total Variation Minimization [PDF]
SIAM Journal on Numerical Analysis, 1999 Summary: The minimization of the total variation is an important tool of image processing. A lot of authors have addressed the problem and developed algorithms for image denoising. In this paper we present an alternative approach of the total variation minimization problem.
Dibos, Françoise, Koepfler, Georges
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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 +3 more
doaj +1 more source
A variational image denoising model under mixed Cauchy and Gaussian noise
AIMS Mathematics, 2022 In this article, we propose a novel variational model for restoring images in the presence of the mixture of Cauchy and Gaussian noise. The model involves a novel data-fidelity term that features the mixed noise as an infimal convolution of two noise ...
Miyoun Jung
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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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