Edge-guided second-order total generalized variation for Gaussian noise removal from depth map
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-73342-3
Abstract: Total generalized variation models have recently demonstrated high-quality denoising capacity for single image. In this paper, we present an accurate denoising method for depth map. Our method uses a weighted second-order total generalized variational model… read more here.
Keywords: depth; order; total generalized; second order ... See more keywords
InSAR phase filtering using spatially adapted total generalized variation
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DOI: 10.1080/2150704x.2016.1268731
Abstract: ABSTRACT Phase filtering is an important processing step in interferometric synthetic aperture radar (InSAR) measurement. It is a difficult task to achieve noise reduction and fringe preservation simultaneously. To solve the dilemma, a new noise… read more here.
Keywords: phase; phase filtering; total generalized; generalized variation ... See more keywords
Reduction of Staircase Effect With Total Generalized Variation Regularization for Electrical Impedance Tomography
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DOI: 10.1109/jsen.2019.2926232
Abstract: Image reconstruction in electrical impedance tomography is an ill-posed inverse problem. To address this problem, regularization methods such as Tikhonov regularization and total variation regularization have been adopted. However, the image is over-smoothed when reconstructing… read more here.
Keywords: variation regularization; staircase effect; generalized variation; total generalized ... See more keywords
Second-Order Total Generalized Variation Regularization for Pansharpening
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DOI: 10.1109/lgrs.2020.3043435
Abstract: Pansharpening can be regarded as an inverse problem, where a high-resolution multispectral (MS) image is estimated given a low-resolution MS image and a panchromatic (Pan) image. Considering the effectiveness of total generalized variation (TGV) to… read more here.
Keywords: generalized variation; variation; second order; model ... See more keywords
Nonblind image deblurring by total generalized variation and shearlet regularizations
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.26.5.053021
Abstract: Abstract. Image deblurring is one of the classical problems in image processing and computer vision. The vital task is to restore the high-quality image with edge-preservation, details-protection, and artifacts suppression. In order to achieve ideal… read more here.
Keywords: shearlet; image; total generalized; generalized variation ... See more keywords