Results 21 to 30 of about 2,423 (185)
Joint Face Super-Resolution and Deblurring Using Generative Adversarial Network
IEEE Access, 2020 Facial image super-resolution (SR) is an important aspect of facial analysis, and it can contribute significantly to tasks such as face alignment, face recognition, and image-based 3D reconstruction. Recent convolutional neural network (CNN) based models
Jung Un Yun, Byungho Jo, In Kyu Park
doaj +1 more source
Motion deblurring as optimisation [PDF]
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, 2010 Motion blur is one of the most common causes of image degradation. It is of increasing interest due to the deep penetration of digital cameras into consumer applications. In this paper, we start with a hypothesis that there is sufficient information within a blurred image and approach the deblurring problem as an optimisation process where the ...
V. S. Rao Veeravasarapu +1 more
openaire +1 more source
Two-Level Wavelet-Based Convolutional Neural Network for Image Deblurring
IEEE Access, 2021 Image deblurring aims to restore the latent sharp image from the blurred one. In recent years, some learning-based image deblurring methods have achieved significant advances.
Yeyun Wu, Pan Qian, Xiaofeng Zhang
doaj +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 We describe a learning-based approach to blind image deconvolution. It uses a deep layered architecture, parts of which are borrowed from recent work on neural network learning, and parts of which incorporate computations that are specific to image deconvolution.
Schuler, C. +3 more
openaire +6 more sources
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
doaj +1 more source
CoRR, 2021 Camera gimbal systems are important in various air or water borne systems for applications such as navigation, target tracking, security and surveillance. A higher steering rate (rotation angle per second) of gimbal is preferable for real-time applications since a given field-of-view (FOV) can be revisited within a short period of time. However, due to
Nisha Varghese +2 more
openaire +2 more sources
IEEE Access, 2020 We propose an $L_{p}$ -norm-based sparse regularization model for license plate deblurring, which is motivated by distinctive properties of license plate images. For the blurred images, general deblurring methods may restore a good overall visual effect.
Chenping Zhao +4 more
doaj +1 more source
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
doaj +1 more source
Blur2Sharp: A GAN-Based Model for Document Image Deblurring
International Journal of Computational Intelligence Systems, 2021 The advances in mobile technology and portable cameras have facilitated enormously the acquisition of text images. However, the blur caused by camera shake or out-of-focus problems may affect the quality of acquired images and their use as input for ...
Hala Neji +4 more
doaj +1 more source
MFFNet: A multi-frequency feature extraction and fusion network for visual processing [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 Convolutional neural networks have achieved tremendous success in the areas of image processing and computer vision. However, they experience problems with low-frequency information such as semantic and category content and background color, and high ...
Jinsheng Deng +2 more
doaj +1 more source