Results 11 to 20 of about 12,142,372 (124)
A survey on facial image deblurring
Computational Visual Media, 2023 When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve the recognition accuracy, etc ...
Bingnan Wang, Fanjiang Xu, Quan Zheng
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Image Deblurring Based on Convex Non-Convex Sparse Regularization and Plug-and-Play Algorithm
Algorithms, 2023 Image deblurring based on sparse regularization has garnered significant attention, but there are still certain limitations that need to be addressed.
Yi Wang +4 more
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Guided Image Deblurring by Deep Multi-Modal Image Fusion
IEEE Access, 2022 Estimating sharp images from blurry observations is still a difficult task in the image processing research field. Previous works may produce deblurred images that lose details or contain artifacts.
Yuqi Liu, Zehua Sheng, Hui-Liang Shen
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2HDED:Net for Joint Depth Estimation and Image Deblurring from a Single Out-of-Focus Image
, 2022 Depth estimation and all-in-focus image restoration from defocused RGB images are related problems, although most of the existing methods address them separately.
Coltuc, Daniela +4 more
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Blind Deblurring Based on Sigmoid Function
Sensors, 2021 Blind image deblurring, also known as blind image deconvolution, is a long-standing challenge in the field of image processing and low-level vision. To restore a clear version of a severely degraded image, this paper proposes a blind deblurring algorithm
Shuhan Sun +3 more
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, 2013 This project was carried out in order to improve our understanding of the mechanisms behind image deblurring. In order to gain a more thorough understanding of the basic processes that are employed in image deblurring, a number of references and ...
Jaffe, Samuel Joseph
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Digital image blurring-deblurring process for improved storage and transmission [PDF]
, 2015 This paper investigates the likelihood of using a blurring-deblurring process as a pre-post-processing step in standard image reconstruction and compression. As such, the paper relates to image coding and compression systems whereby an original image can
Gabriel Scarmana, Scarmana, Gabriel
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Blind Image Deblurring Based on Local Edges Selection
Applied Sciences, 2019 The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately.
Yue Han, Jiangming Kan
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A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior
International Journal of Applied Mathematics and Computer Science, 2022 The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel ...
Yu Xiaoyuan, Xie Wei, Yu Jinwei
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A Motion Deblur Method Based on Multi-Scale High Frequency Residual Image Learning
IEEE Access, 2020 Non-uniform blind deblurring of dynamic scenes has always been a challenging problem in image processing because of the diverse of blurring sources. Traditional methods based on energy minimization cannot make accurate kernel estimation. It leads to that
Keng-Hao Liu +3 more
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