Image Restoration with Mean-Reverting Stochastic Differential Equations [PDF]
International Conference on Machine Learning, 2023 This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration. The key construction consists in a mean-reverting SDE that transforms a high-quality image into a degraded counterpart as a mean state with fixed
Ziwei Luo +4 more
semanticscholar +1 more source
An Edge-Directed Diffusion Equation-Based Image Restoration Approach for Font Generation
IEEE Access, 2023 The intelligent algorithms-based font generation has been a prevalent online application. In existing researches, visual communication effect of font generation results is usually neglected.
Mengnan Ding
doaj +1 more source
HINet: Half Instance Normalization Network for Image Restoration [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 In this paper, we explore the role of Instance Normalization in low-level vision tasks. Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.
Liangyu Chen +4 more
semanticscholar +1 more source
Application of the quantum spin glass theory to image restoration [PDF]
, 2000 Quantum fluctuation is introduced into the Markov random fields (MRF's) model for image restoration in the context of Bayesian approach. We investigate the dependence of the quantum fluctuation on the quality of BW image restoration by making use of ...
A.J. Bray +11 more
core +2 more sources
A Partial Differential Equation-Based Image Restoration Method in Environmental Art Design
Advances in Mathematical Physics, 2021 With the rapid development of networks and the emergence of various devices, images have become the main form of information transmission in real life. Image restoration, as an important branch of image processing, can be applied to real-life situations ...
Chen Li
doaj +1 more source
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank [PDF]
Computer Vision and Pattern Recognition, 2023 Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress.
Shirui Huang +4 more
semanticscholar +1 more source
Digital image processing of the Ghent altarpiece : supporting the painting's study and conservation treatment [PDF]
, 2015 In this article, we show progress in certain image processing techniques that can support the physical restoration of the painting, its art-historical analysis, or both.
Cornelis, Bruno +9 more
core +2 more sources
Cross-Scale KNN Image Transformer for Image Restoration
IEEE Access, 2023 Numerous image restoration approaches have been proposed based on attention mechanism, achieving superior performance to convolutional neural networks (CNNs) based counterparts.
Hunsang Lee +3 more
doaj +1 more source
Studies of EGRET sources with a novel image restoration technique [PDF]
, 2007 We have developed an image restoration technique based on the Richardson-Lucy algorithm optimized for GLAST-LAT image analysis. Our algorithm is original since it utilizes the PSF (point spread function) that is calculated for each event.
Chiang, James +4 more
core +3 more sources
Deep Generalized Unfolding Networks for Image Restoration [PDF]
Computer Vision and Pattern Recognition, 2022 Deep neural networks (DNN) have achieved great suc-cess in image restoration. However, most DNN methods are designed as a black box, lacking transparency and inter-pretability.
Chong Mou, Qian Wang, Jian Zhang
semanticscholar +1 more source