Results 11 to 20 of about 4,853,764 (304)
Guided Mesh Normal Filtering [PDF]
Computer Graphics Forum, 2015 The joint bilateral filter is a variant of the standard bilateral filter, where the range kernel is evaluated using\ud a guidance signal instead of the original signal. It has been successfully applied to various image processing\ud problems, where it provides more flexibility than the standard bilateral filter to achieve high quality results.
Wangyu Zhang +4 more
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IEEE Access, 2022 Techniques for detecting salient objects mimic human behavior by recognizing the most noticeable parts of images as objects. Salient object detection has attracted many researchers’ attention nowadays for various computer vision and pattern recognition ...
Bhagyashree V. Lad, M. Hashmi, A. Keskar
semanticscholar +1 more source
Saliency Guided Visual Tracking via Correlation Filter With Log-Gabor Filter
IEEE Access, 2020 Correlation filter (CF) based tracking algorithms have tremendously contributed to the field of visual tracking due to the high computational efficiency and competitive performance.
Mingxin Yu +5 more
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Image Fusion With Guided Filtering [PDF]
IEEE Transactions on Image Processing, 2013 A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details.
Shutao Li 0001, Xudong Kang, Jianwen Hu
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Guided adaptive interpolation filter [PDF]
IET Image Processing, 2020 Edge‐aware smoothing has proved to be a fundamental technique for various image processing and computer vision tasks. In this study, the authors introduce a local, non‐iterative, and effective edge‐preserving filter namely guided adaptive interpolation filter (GAIF).
Waseem Waheed +2 more
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Spectral-Spatial Joint Classification of Hyperspectral Image Based on Broad Learning System
Remote Sensing, 2021 At present many researchers pay attention to a combination of spectral features and spatial features to enhance hyperspectral image (HSI) classification accuracy. However, the spatial features in some methods are utilized insufficiently.
Guixin Zhao +3 more
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Remote Sensing, 2023 Traditional image fusion techniques generally use symmetrical methods to extract features from different sources of images. However, these conventional approaches do not resolve the information domain discrepancy from multiple sources, resulting in the ...
Jiajia Zhang +8 more
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The Hitchhiker’s guide to nonlinear filtering
Journal of Mathematical Psychology, 2020 ISSN:0022 ...
Anna Kutschireiter +2 more
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Structural Information Reconstruction of Distorted Underwater Images Using Image Registration
Applied Sciences, 2020 Imaging through wavy air-water surface suffers from uneven geometric distortions and motion blur due to surface fluctuations. Structural information of distorted underwater images is needed to correct this in some cases, such as submarine cable ...
Tao Sun, Yugui Tang, Zhen Zhang
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FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter [PDF]
IEEE International Conference on Multimedia and Expo, 2020 Pansharpening is a widely used image enhancement technique for remote sensing. Its principle is to fuse the input high-resolution single-channel panchromatic (PAN) image and low-resolution multi-spectral image and to obtain a high-resolution multi ...
Zixiang Zhao +6 more
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