Results 21 to 30 of about 8,406,664 (294)
Multi-focus image fusion using multi-scale image decomposition and saliency detection
Ain Shams Engineering Journal, 2018 In this paper, we develop a new multi-focus image fusion method based on saliency detection and multi-scale image decomposition. Proposed method is very efficient, since the visual saliency explored in this algorithm is able to emphasize visually ...
Durga Prasad Bavirisetti, Ravindra Dhuli
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Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter
Entropy, 2020 Image fusion is a very practical technology that can be applied in many fields, such as medicine, remote sensing and surveillance. An image fusion method using multi-scale decomposition and joint sparse representation is introduced in this paper.
Yudan Liu +5 more
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts
Journal of Harbin University of Science and Technology, 2023 In the high-speed milling of aviation parts, due to the low stiffness of thin-walled structure, it is easy to produce chatter. Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a ...
WANG Hanbin +4 more
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Multi-scale Image Decomposition Using a Local Statistical Edge Model [PDF]
2021 IEEE 7th International Conference on Virtual Reality (ICVR), 2021 We present a progressive image decomposition method based on a novel non-linear filter named Sub-window Variance filter. Our method is specifically designed for image detail enhancement purpose; this application requires extraction of image details which are small in terms of both spatial and variation scales.
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Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]
, 2012 Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H. +3 more
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Time complexity analysis of generalized decomposition algorithm [PDF]
, 1997 The time complexity of the fast algorithm for generalized disjunctive decomposition of an rvalued function is studied.The considered algorithm to find the best decomposition is based on the analysis of multiple-terminal multiple-valued decision diagrams.
Pshibytko, V, Kalganova, T
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Unified framework for multi‐scale decomposition and applications
The Journal of Engineering, 2017 Since real‐world digital images differ in thousands ways, an adaptive multi‐scale decomposition scheme adapting to images is increasingly urgently required for image analysis and applications. In this paper, a unified framework for multi‐scale decomposition is developed.
Xu Guanlei +4 more
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Fast multi-scale detail decomposition via accelerated iterative shrinkage [PDF]
SIGGRAPH Asia 2013 Technical Briefs, 2013 We present a fast solution for performing multi-scale detail decomposition. The proposed method is based on an accelerated iterative shrinkage algorithm, able to process high definition color images in real-time on modern GPUs. Our strategy to accelerate the smoothing process is based on the use of first order proximal operators.
Badri, Hicham +2 more
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Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework
IEEE Access, 2019 Image fusion has become an active and promising research topic in image processing. It provides an effective way to combine several source images to form a composite image with more detailed information than any one of the source images.
Jiang Qian +4 more
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IET Computer Vision, 2017 This study presents a spatio‐temporal motion descriptor that is computed from a spatially‐constrained decomposition and applied to online classification and recognition of human activities.
Fabio Martínez +2 more
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