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

