Results 21 to 30 of about 4,853,764 (304)

Fast Guided Filter

open access: yesCoRR, 2015
Technical ...
Kaiming He, Jian Sun 0001
openaire   +2 more sources

Fast End-to-End Trainable Guided Filter [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Image processing and pixel-wise dense prediction have been advanced by harnessing the capabilities of deep learning. One central issue of deep learning is the limited capacity to handle joint upsampling.
Huikai Wu   +3 more
semanticscholar   +1 more source

Spatial-Spectral Classification of Hyperspectral Images Based on Extended Morphological Profiles and Guided Filter [PDF]

open access: yesComputer and Knowledge Engineering, 2020
Previous studies show that the incorporation of spatial features in the classification process of hyperspectral images (HSI) improves classification accuracy.
behnam asghari beirami   +1 more
doaj   +1 more source

Weighted median guided filtering method for single image rain removal

open access: yesEURASIP Journal on Image and Video Processing, 2018
Because there is no temporal information available, rain removal with a single image is more challenging than that with a video. In this paper, we present a weighted median guided filtering method for rain removal with a single image.
Zhenghao Shi   +5 more
doaj   +1 more source

Fusion of Multi-Baseline and Multi-Orbit InSAR DEMs with Terrain Feature-Guided Filter

open access: yesRemote Sensing, 2018
Interferometric synthetic aperture radar (InSAR) is an effective technology for generating high-precision digital elevation models (DEMs). However, the vertical accuracy of InSAR DEMs is limited by the contradiction between height measurement sensitivity
Yuting Dong   +4 more
doaj   +1 more source

A mine image enhancement algorithm

open access: yesGong-kuang zidonghua, 2017
For poor images captured by coal mine video monitoring system with low contrast, uneven illumination and a lot of noise, a single scale Retinex algorithm based on simultaneous denoising of weighted guided filtering was proposed for underground image ...
WANG Xing   +3 more
doaj   +1 more source

Remote Sensing Image Reconstruction Method Based on Parameter Adaptive Dual-Channel Pulse-Coupled Neural Network to Optimize Multiscale Decomposition

open access: yesIEEE Access, 2023
Existing image processing methods usually divide image denoising and image fusion into two directions for research, and even the best current image denoising methods such as DnCNN can cause information loss during image processing, and the image fusion ...
Pengcheng Hu   +4 more
doaj   +1 more source

Mutually Guided Image Filtering

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Filtering images is required by numerous multimedia, computer vision and graphics tasks. Despite diverse goals of different tasks, making effective rules is key to the filtering performance. Linear translation-invariant filters with manually designed kernels have been widely used. However, their performance suffers from content-blindness.
Xiaojie Guo 0001   +3 more
openaire   +2 more sources

Deep Guidance Network for Biomedical Image Segmentation

open access: yesIEEE Access, 2020
Segmentation of 2D images is a fundamental problem for biomedical image analysis. The most widely used architecture for biomedical image segmentation is U-Net.
Pengshuai Yin   +3 more
doaj   +1 more source

Three-Stage Pavement Crack Localization and Segmentation Algorithm Based on Digital Image Processing and Deep Learning Techniques

open access: yesSensors, 2022
The image of expressway asphalt pavement crack disease obtained by a three-dimensional line scan laser is easily affected by external factors such as uneven illumination distribution, environmental noise, occlusion shadow, and foreign bodies on the ...
Zhen Yang   +4 more
doaj   +1 more source

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