Results 1 to 10 of about 1,357,544 (282)
Fast Guided Median Filter [PDF]
IEEE Transactions on Image Processing, 2023 Faster computation of a weighted median (WM) filter is impeded by the construction of a weighted histogram for every local window of data. Since the calculated weights vary for each local window, it is difficult, using a sliding window approach, to construct the weighted histogram efficiently.
Kazu Mishiba
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Pansharpening with a Guided Filter Based on Three-Layer Decomposition [PDF]
Sensors, 2016 State-of-the-art pansharpening methods generally inject the spatial structures of a high spatial resolution (HR) panchromatic (PAN) image into the corresponding low spatial resolution (LR) multispectral (MS) image by an injection model.
Xiangchao Meng +4 more
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Intensity Variation Normalization for Finger Vein Recognition Using Guided Filter Based Singe Scale Retinex [PDF]
Sensors, 2015 Finger vein recognition has been considered one of the most promising biometrics for personal authentication. However, the capacities and percentages of finger tissues (e.g., bone, muscle, ligament, water, fat, etc.) vary person by person.
Shan Juan Xie +4 more
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Alternating guided image filtering [PDF]
PeerJ Computer Science, 2016 Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges.
Alexander Toet
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Multi-Focus Image Fusion Method for Vision Sensor Systems via Dictionary Learning with Guided Filter [PDF]
Sensors, 2018 Vision sensor systems (VSS) are widely deployed in surveillance, traffic and industrial contexts. A large number of images can be obtained via VSS. Because of the limitations of vision sensors, it is difficult to obtain an all-focused image.
Qilei Li +4 more
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IET Image Processing, 2017 The bilateral filter (BF) is a non‐linear filter that spatially smooths images with awareness of large structures such as edges. The level of smoothness applied to a pixel is constrained by a photometric weight, which can be obtained from the same image to be filtered (in case of the original BF) or from a guided image (in case of the joint/cross BF ...
Ba Thai, Zhuo Su, Guang Deng
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Unsharp Mask Guided Filtering [PDF]
IEEE Transactions on Image Processing, 2021 The goal of this paper is guided image filtering, which emphasizes the importance of structure transfer during filtering by means of an additional guidance image. Where classical guided filters transfer structures using hand-designed functions, recent guided filters have been considerably advanced through parametric learning of deep networks. The state-
Zenglin Shi +4 more
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Guided-Pix2Pix: End-to-End Inference and Refinement Network for Image Dehazing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Haze removal is still an essential prerequisite for image processing and computer vision tasks, and joint inference and refinement of transmission maps remain challenging in the physical scattering model-based haze removal methods.
Libin Jiao +3 more
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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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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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