Results 71 to 80 of about 511,982 (176)

Spatially Adaptive Intensity Bounds for Image Restoration

EURASIP Journal on Advances in Signal Processing, 2003
Spatially-adaptive intensity bounds on the image estimate are shown to be an effective means of regularising the ill-posed image restoration problem.
Stathaki Tania, Katsaggelos Aggelos K, May Kaaren L   +2 more
doaj   +1 more source

Image restoration for digital line drawings using line masks

Graphical Models
The restoration of digital images holds practical significance due to the fact that degradation of digital image data on the internet is common. State-of-the-art image restoration methods usually employ end-to-end trained networks. However, we argue that
Yan Zhu, Yasushi Yamaguchi
doaj   +1 more source

Optimal focal-plane restoration [PDF]

Image restoration can be implemented efficiently by calculating the convolution of the digital image and a small kernel during image acquisition. Processing the image in the focal-plane in this way requires less computation than traditional Fourier ...
Park, Stephen K., Reichenbach, Stephen E.   +1 more
core   +1 more source

FIR-SDE: fast image restoration via mean-reverting stochastic differential equation

Complex & Intelligent Systems
In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data is challenging to ...
Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao, Xihan Wang, Wenhui Zhang   +5 more
doaj   +1 more source

Referring flexible image restoration

Expert Systems with Applications
15 pages, 19 ...
Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue   +8 more
openaire   +2 more sources

Models for Patch-Based Image Restoration

EURASIP Journal on Image and Video Processing, 2009
We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel.
Mithun Das Gupta, Shyamsundar Rajaram, Nemanja Petrovic, Thomas S. Huang   +3 more
doaj   +1 more source

Efficient Hybrid Network with Prompt Learning for Multi-Degradation Image Restoration

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Image restoration aims to repair degraded images. Traditional image restoration methods have limited generalization capabilities due to the difficulty in dealing with different types and levels of degradation. On the other hand, contemporary research has
Muhammad Yusuf Kardawi, Laksmita Rahadianti   +1 more
doaj   +1 more source

Denoising Techniques Based on the Multiresolution Representation [PDF]

So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Catalina COCIANU, Luminita STATE, Panayiotis VLAMOS, Viorica STEFANESCU   +3 more
core  

Graph Convolutional Network for Image Restoration: A Survey

Mathematics
Image restoration technology is a crucial field in image processing and is extensively utilized across various domains. Recently, with advancements in graph convolutional network (GCN) technology, methods based on GCNs have increasingly been applied to ...
Tongtong Cheng, Tingting Bi, Wen Ji, Chunwei Tian   +3 more
doaj   +1 more source

Block iterative restoration of astronomical images with the massively parallel processor [PDF]

A method is described for algebraic image restoration capable of treating astronomical images. For a typical 500 x 500 image, direct algebraic restoration would require the solution of a 250,000 x 250,000 linear system.
Heap, Sara R., Lindler, Don J.
core   +1 more source