Results 11 to 20 of about 1,357,544 (282)
Fast Implementation of Oversampled Modulated Filter Banks [PDF]
, 2000 This paper presents an efficient implementation of oversampled filter banks derived from a prototype filter by modulation. Via a polyphase analysis, redundancies in the filter operations are removed.
Weiss, Stephan +5 more
core +5 more sources
Spatial-Spectral Classification of Hyperspectral Images Based on Extended Morphological Profiles and Guided Filter [PDF]
Computer 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
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
openaire +2 more sources
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
doaj +1 more source
A Quick Policy to Filter Reactions Based on Feasibility in AI-Guided Retrosynthetic Planning [PDF]
, 2020 A neural network-guided Monte Carlo tree search (MCTS) has been shown to be a promising algorithmfor computer-aided synthesis prediction. Here we train and investigate a filter policy that removesunfeasible reactions from the search. We investigate three
Samuel, Genheden +2 more
core +1 more source
IEEE 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
Sensors, 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
The Hitchhiker’s guide to nonlinear filtering
Journal of Mathematical Psychology, 2020 Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences. We start our review of the theory on nonlinear filtering from the simplest `filtering' task we can think of, namely ...
Anna Kutschireiter +2 more
openaire +4 more sources
Self‐guided filter for image denoising
IET Image Processing, 2020 The guided filter has been acknowledged as an exceptional edge‐preserving filter whose output is a locally linear transform of the guidance image. However, the traditional guided filter heavily relies on the guidance image and fails to achieve the ...
Shujin Zhu, Zekuan Yu
doaj +1 more source
Particle filter with swarm move for optimization [PDF]
, 2008 Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S +11 more
core +1 more source