Results 21 to 30 of about 9,140,641 (221)
CoRR, 2022 With the improvement of social life quality and the real needs of daily work, images are more and more all around us. Image blurring due to camera shake, human movement, etc. has become the key to affecting image quality. How to remove image blur and restore clear image has gradually become an important research direction in the field of computer ...
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A domain translation network with contrastive constraint for unpaired motion image deblurring
IET Image Processing, 2023 Most motion deblurring methods require a large amount of paired training data, which is nearly unreachable in practice. To overcome the limitation, a domain translation network with contrastive constraint for unpaired motion image deblurring is proposed.
Bingxin Zhao, Weihong Li
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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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Sensors, 2021 Complex marine environment has an adverse effect on the object detection algorithm based on the vision sensor for the smart ship sailing at sea. In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety,
Hui Feng +3 more
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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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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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Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Ruggiero, V +3 more
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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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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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