Results 91 to 100 of about 20,627 (197)
Thermal Damage to the Skin From 5.6 GHz Microwave Exposures in Swine
Bioelectromagnetics, Volume 47, Issue 4, May 2026.ABSTRACT A study of burn thresholds from superficially penetrating radio‐frequency (RF) energy at 5.6 GHz for swine skin was conducted. The study estimated the thresholds for superficial, partial‐thickness, and full‐thickness burn severities after 20 s of exposure at power densities of 4–8 W/cm2. Biopsies were collected from each burn site at 1, 24, 72,
James E. Parker +7 more
wiley +1 more source
Fast Convergent Image Inpainting Method Based on BSCB Model
Journal of Algorithms & Computational Technology, 2009 Digital image inpainting technique has been widely used in many socioeconomic areas and methods based on partial differential equations (PDE) attract intensive research in the hope of an automatic inpainting methodology.
Chao Zeng, Meiqing Wang
doaj +1 more source
Learning to Inpaint for Image Compression
CoRR, 2017 We study the design of deep architectures for lossy image compression. We present two architectural recipes in the context of multi-stage progressive encoders and empirically demonstrate their importance on compression performance. Specifically, we show that: (a) predicting the original image data from residuals in a multi-stage progressive ...
Mohammad Haris Baig +2 more
openaire +3 more sources
Unsupervised Adversarial Image Inpainting
CoRR, 2019 We consider inpainting in an unsupervised setting where there is neither access to paired nor unpaired training data. The only available information is provided by the uncomplete observations and the inpainting process statistics. In this context, an observation should give rise to several plausible reconstructions which amounts at learning a ...
Arthur Pajot +2 more
openaire +2 more sources
Multi-Scale Generative Adversarial Network With Multi-Head External Attention for Image Inpainting
IEEE AccessInpainting images that have sizable missing blocks presents a considerable challenge in terms of preserving visual consistency and attaining a convincing result.
Gang Chen, Qing Feng, Xiu He, Jian Yao
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Coherent Spatial and Colour Blended Exemplar Inpainting [PDF]
Mehran University Research Journal of Engineering and Technology, 2017 In an image processing field the digital image recovery is termed as inpainting. Efficient retrieval of an image, especially having large objects with high curvature and complex texture is an immensely challenging problem for image inpainting ...
ANAM AKBAR +2 more
doaj
Image Inpainting with Gradient Attention
Schedae Informaticae, 2018 We present a novel modification of context encoder loss function, which results in more accurate and plausible inpainting. For this purpose, we introduce gradient attention loss component of loss function, to suppress the common problem of inconsistency in shapes and edges between the inpainted region and its context.
Sadowski, Michał +1 more
openaire +3 more sources
Improved medical image inpainting using automatic multi-task learning driven deep learning approach
e-Prime: Advances in Electrical Engineering, Electronics and EnergyDistorted medical images can drastically reduce diagnosis accuracy using computer-aided diagnostic (CAD) systems. The objective of medical image classification is to improve diagnostic imaging precision and restore regions degraded by image inpainting ...
Poonam L Rakibe, Pramod D Patil
doaj +1 more source
Inpainting Ideas for Image Compression [PDF]
, 2009 In the last decade, partial differential equations (PDEs) have demonstrated their usefulness for so-called inpainting problems, where missing image information is recovered by interpolating data from the neighbourhood. For inpainting problems, however, usually a large fraction of the image data is available.
openaire +1 more source
PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution. [PDF]
Sensors (Basel), 2023 Ko J, Choi W, Lee S.
europepmc +1 more source