Results 41 to 50 of about 23,696 (202)

Optimising Spatial and Tonal Data for PDE-based Inpainting

, 2015
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (PDE).
Doerr, Benjamin, Hoeltgen, Laurent, Hoffmann, Sebastian, Johannsen, Daniel, Mainberger, Markus, Neumann, Frank, Setzer, Simon, Tang, Ching Hoo, Weickert, Joachim   +8 more
core   +1 more source

Do inpainting yourself: Generative facial inpainting guided by exemplars [PDF]

Neurocomputing
There are 16 pages, 18 figures in this paper. Homepage: https://longlongaaago.github.io/EXE-GAN/
Lu, Wanglong, Zhao, Hanli, Jiang, Xianta, Jin, Xiaogang, Yang, Yongliang, Wang, Min, Lyu, Jiankai, Shi, Kaijie   +7 more
openaire   +2 more sources

CSCGAN: Cross-Space Contrastive Learning for Blind Image Inpainting

Applied Sciences
Existing general image inpainting works require the user to customize a mask to indicate the region to be inpainted. However, the mask is often hard to calibrate accurately in real-world applications, e.g., graffiti removal.
Sheng Jin, Weijing Zhang, Tianyi Chu, Zhanjie Zhang, Lei Zhao, Wei Xing, Huaizhong Lin, Lixia Chen   +7 more
doaj   +1 more source

RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics

, 2018
Image inpainting refers to filling missing places in images using neighboring pixels. It also has many applications in different tasks of image processing.
Akbari, Mojtaba, Karimi, Nader, Mohrekesh, Majid, Samavi, Shadrokh   +3 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Sparse inpainting and isotropy [PDF]

Journal of Cosmology and Astroparticle Physics, 2014
Sparse inpainting techniques are gaining in popularity as a tool for cosmological data analysis, in particular for handling data which present masked regions and missing observations. We investigate here the relationship between sparse inpainting techniques using the spherical harmonic basis as a dictionary and the isotropy properties of cosmological ...
Feeney, Stephen M., MARINUCCI, Domenico, Mcewen, Jason D., Peiris, Hiranya V., Wandelt, Benjamin D., CAMMAROTA, VALENTINA   +5 more
openaire   +6 more sources

Deep Image Prior Amplitude SAR Image Anonymization

Remote Sensing, 2023
This paper presents an extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. SAR images are gaining popularity in various applications, but there may be a need to conceal certain ...
Edoardo Daniele Cannas, Sara Mandelli, Paolo Bestagini, Stefano Tubaro, Edward J. Delp   +4 more
doaj   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

A Second Order TV-type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data

, 2015
In this paper we consider denoising and inpainting problems for higher dimensional combined cyclic and linear space valued data. These kind of data appear when dealing with nonlinear color spaces such as HSV, and they can be obtained by changing the ...
Bergmann, Ronny, Weinmann, Andreas
core   +1 more source

Visualizing Metal Nanoparticle Electrochemical Dissolution Atom by Atom

Small, EarlyView.
The early stages of the electrochemical dissolution of gold nanoparticles (NPs) on electron beam transparent carbon‐based supports are investigated using identical location scanning transmission electron microscopy at atom resolution. Numbers of atoms lost (and gained), along with morphology changes are tracked for the same NP within an ensemble, over ...
Pei Zhao, Daniel Houghton, Richard Beanland, Julie V. Macpherson   +3 more
wiley   +1 more source