A new cartoon–texture image decomposition approach with smoothing spline interpolation
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DOI: 10.1016/j.ijleo.2018.01.030
Abstract: Abstract In this paper, we present an effective approach to decompose an image into its cartoon part and texture part without losing edge information. The cartoon and texture parts of an image have their own… read more here.
Keywords: image; cartoon texture; approach; image decomposition ... See more keywords
Existence and uniqueness of weak solutions for a system applied to image decomposition
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DOI: 10.1080/00036811.2017.1392017
Abstract: ABSTRACT In this paper, we prove the existence and uniqueness of weak solutions for a singular evolutionary system, which is deduced from a model for image decomposition combining staircase reduction and texture extraction. The main… read more here.
Keywords: system; existence uniqueness; uniqueness weak; weak solutions ... See more keywords
Uneven Illumination Surface Defects Inspection Based on Saliency Detection and Intrinsic Image Decomposition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3032108
Abstract: Surface defect detection based on computer vision remains a challenging task due to the uneven illumination, low contrast and miscellaneous patterns of defects. Current methods usually present undesirable detection accuracy and lack adaptability for the… read more here.
Keywords: image decomposition; surface; uneven illumination; intrinsic image ... See more keywords
Joint Deep Estimation of Intrinsic and Dichromatic Image Decomposition
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DOI: 10.1109/access.2023.3271114
Abstract: This paper proposes an image formation model that jointly combines dichromatic and intrinsic image decomposition models. The two decomposition models analyze image formation process from a different perspective, and they can be combined synergistically. It… read more here.
Keywords: intrinsic dichromatic; image decomposition; decomposition; decomposition joint ... See more keywords
Intrinsic Hyperspectral Image Decomposition With DSM Cues
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DOI: 10.1109/tgrs.2021.3102644
Abstract: Intrinsic hyperspectral image decomposition (IHID) aims to recover physical scene properties such as reflectance and illumination from a given hyperspectral image (HSI), which directly respects the physical imaging process and can benefit many HSI processing… read more here.
Keywords: dsm; intrinsic hyperspectral; image decomposition; hyperspectral image ... See more keywords
Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition
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DOI: 10.1109/tim.2019.2925881
Abstract: Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a strong assumption of the noise distribution.… read more here.
Keywords: image decomposition; image; noise; convolutional neural ... See more keywords
Contrast Enhancement Based on Intrinsic Image Decomposition
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2703078
Abstract: In this paper, we propose to introduce intrinsic image decomposition priors into decomposition models for contrast enhancement. Since image decomposition is a highly ill-posed problem, we introduce constraints on both reflectance and illumination layers to… read more here.
Keywords: image; illumination; contrast enhancement; intrinsic image ... See more keywords