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Fringe pattern denoising using averaging based on nonlocal self-similarity
Optics Communications, 2012Abstract Digital image processing for fringe patterns is an important procedure in optical interferometry. Filtering off noise from fringe patterns is one of the key tasks for extraction of the phase field. Spin filters proposed by Yu et al. [Appl. Opt. 33(1994), 41(2002), et al.] have been proven to be effective denoising methods.
Shujun Fu, Caiming Zhang
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Neurocomputing, 2017
The feature extraction of training images can make the subdictionaries contain the image texture structures.The edge difference is explored and used to preserve the edge structures of images.The nonlocal structure tensor optimization model with a new weight calculation can further improve the image quality.
Weiguo Gong, Weihong Li
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The feature extraction of training images can make the subdictionaries contain the image texture structures.The edge difference is explored and used to preserve the edge structures of images.The nonlocal structure tensor optimization model with a new weight calculation can further improve the image quality.
Weiguo Gong, Weihong Li
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Single image super resolution using local smoothness and nonlocal self-similarity priors
Signal Processing: Image Communication, 2016Abstract Single image super resolution (SISR) is an inverse problem, so an effective image prior is necessary to reconstruct a high resolution (HR) image from a single low resolution (LR) image. On the one hand, natural images satisfy the property of local smoothness; on the other hand, the patches could find some similar patches in different ...
Honggang Chen, Xiaohai He, Qizhi Teng
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Single image super-resolution using self-similarity and generalized nonlocal mean
2013 IEEE International Conference of IEEE Region 10 (TENCON 2013), 2013In this paper, a super-resolution method based self-similarity and generalized nonlocal mean is proposed. The proposed method not only adopts the self-similarity of image to build a self-example training set but also exploits generalized nonlocal mean to improve the quality of the resultant image.
Wei Wu, Chenglin Zheng
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Sparse representation with enhanced nonlocal self-similarity for image denoising
Machine Vision and Applications, 2021In the past decade, the sparsity prior of image is investigated and utilized widely as the development of compressed sensing theory. The dictionary learning combined with the convex optimization methods promotes the sparse representation to be one of the state-of-the-art techniques in image processing, such as denoising, super-resolution, deblurring ...
Tao Zhou +3 more
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Seismic data interpolation using nonlocal self-similarity prior
Geophysics, 2022ABSTRACT The use of a nonlocal self-similarity (NSS) prior, which refers to each reference patch always having many nonlocal similar patches, has demonstrated its effectiveness in seismic data random noise attenuation because of the repetitiveness of textures and structures in their global position.
Xiao Niu +4 more
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Fractional-order total variation algorithm with nonlocal self-similarity for image reconstruction
Journal of Electronic Imaging, 2021We propose the fractional-order total variation (TV) algorithm with nonlocal self-similarity for image reconstruction in compressed sensing to alleviate texture details deterioration and eliminate staircase artifacts, which results from the TV algorithms.
Hui Chen +5 more
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Simultaneous Nonlocal Self-Similarity Prior for Image Denoising
2019 IEEE International Conference on Image Processing (ICIP), 2019Nonlocal image representation has achieved great success in various image processing tasks such as image denoising, image deblurring and image deblocking. Particularly, by exploiting the image nonlo-cal self-similarity (NSS) prior, many nonlocal similar patches can be searched across the whole image for a given patch, which has significantly boosted ...
Zhiyuan Zha +5 more
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Video temporal super-resolution using nonlocal registration and self-similarity
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), 2016In this paper we present a novel temporal super-resolution method for increasing the frame-rate of single videos. The proposed algorithm is based on motion-compensated 3-D patches, i.e., a sequence of 2-D blocks following a given motion trajectory. The trajectories are computed through a coarse-to-fine motion estimation strategy embedding a regularized
Matteo Maggioni, Pier Luigi Dragotti
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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The aim of hyperspectral image super-resolution (HSI-SR) is to produce high spatial resolution hyperspectral image (HR - HSI) by exploiting the available high spatial resolution multispectral image (HR-MSI) and low spatial resolution hyperspectral image (LR-HSI).
Ting Xu +4 more
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The aim of hyperspectral image super-resolution (HSI-SR) is to produce high spatial resolution hyperspectral image (HR - HSI) by exploiting the available high spatial resolution multispectral image (HR-MSI) and low spatial resolution hyperspectral image (LR-HSI).
Ting Xu +4 more
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