A Variational Model for Dislocations at Semi-coherent Interfaces
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Nonlinear Science"
DOI: 10.1007/s00332-017-9366-5
Abstract: We propose and analyze a simple variational model for dislocations at semi-coherent interfaces. The energy functional describes the competition between two terms: a surface energy induced by dislocations and a bulk elastic energy, spent to… read more here.
Keywords: coherent interfaces; semi coherent; dislocations semi; variational model ... See more keywords
Properties of a Variational Model for Video Inpainting
Sign Up to like & getrecommendations! Published in 2019 at "Networks and Spatial Economics"
DOI: 10.1007/s11067-019-09459-4
Abstract: We consider a variational model analyzed in March and Riey (Inverse Probl Imag 11(6): 997–1025, 2017) for simultaneous video inpainting and motion estimation. The model has applications in the field of recovery of missing data… read more here.
Keywords: video; video inpainting; video data; variational model ... See more keywords
A detail preserving variational model for image Retinex
Sign Up to like & getrecommendations! Published in 2019 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2018.11.052
Abstract: Abstract In this paper, we propose a detail preserving variational model for Retinex to simultaneously estimate the illumination and the reflectance from an observed image. Most previous models use the log-transform as pretreatment which results… read more here.
Keywords: detail preserving; preserving variational; model; image ... See more keywords
Sensitivity analysis of the variational model for the particulate expansion of fluidized beds
Sign Up to like & getrecommendations! Published in 2019 at "Particulate Science and Technology"
DOI: 10.1080/02726351.2018.1508100
Abstract: Abstract Fluidization experiments were performed by using spherical and non-spherical particles to examine the sensitivity of the variational model to three input parameters: Umf, εmf and Ut. Several correlations for Umf, εmf and Ut were… read more here.
Keywords: experimental values; expansion; compared experimental; variational model ... See more keywords
A Nash game based variational model for joint image intensity correction and registration to deal with varying illumination
Sign Up to like & getrecommendations! Published in 2020 at "Inverse Problems"
DOI: 10.1088/1361-6420/ab2934
Abstract: Registration aligns features of two related images so that information can be compared and/or fused in order to highlight differences and complement information. In real life images where bias field is present, this undesirable artefact… read more here.
Keywords: model joint; registration; model; image ... See more keywords
A Unified Variational Model for Single Image Dehazing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2894525
Abstract: Haze is a common weather phenomenon, which hinders many outdoor computer vision applications such as outdoor surveillance, navigation control, vehicle driving, and so on. In this paper, a simple but effective unified variational model for… read more here.
Keywords: unified variational; image dehazing; model; model single ... See more keywords
A New Variational Model in Texture Space for Pansharpening
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2836951
Abstract: In this letter, a new variational model in texture space for pansharpening is proposed to increase spatial information of multispectral image, while preserving spectral and spatial consistencies of pansharpened image. Geometric structure consistency between panchromatic… read more here.
Keywords: texture space; space; new variational; variational model ... See more keywords
Spatial–Spectral Fusion by Combining Deep Learning and Variational Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2904659
Abstract: In the field of spatial–spectral fusion, the variational model-based methods and the deep learning (DL)-based methods are state-of-the-art approaches. This paper presents a fusion method that combines the deep neural network with a variational model… read more here.
Keywords: fusion; spectral fusion; image; variational model ... See more keywords
A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/1952782
Abstract: This paper studies a new convex variational model for denoising and deblurring images with multiplicative noise. Considering the statistical property of the multiplicative noise following Nakagami distribution, the denoising model consists of a data fidelity… read more here.
Keywords: term; convex variational; multiplicative noise; variational model ... See more keywords
Variational model for simultaneously image denoising and contrast enhancement.
Sign Up to like & getrecommendations! Published in 2020 at "Optics express"
DOI: 10.1364/oe.28.018751
Abstract: The performance of contrast enhancement is degraded when input images are noisy. In this paper, we propose and develop a variational model for simultaneously image denoising and contrast enhancement. The idea is to propose a… read more here.
Keywords: variational model; contrast enhancement; image; model simultaneously ... See more keywords