Signal, Image and Video Processing

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Robust classwise and projective low-rank representation for image classification
Signal, Image and Video Processing - Tập 12 - Trang 107-115 - 2017
Shengke Xue, Xinyu Jin
Several variations of the low-rank representation have been suggested intensively for diverse applications, recently. They perform properly on image alignment but undesirably on classification. That is, they are intractable when a new image arrives with an unknown label to be classified. Hence, inspired by a recent research of the fast projection, this paper proposes a supervised approach called t... hiện toàn bộ
A spatiotemporal super-resolution algorithm for a hybrid stereo video system
Signal, Image and Video Processing - - 2016
Jing Ge, Ju Liu, Hui Yuan, Chuan Ge, Boyang Zhang
Data generation model based on Gm-APD LiDAR data
Signal, Image and Video Processing - - Trang 1-9 - 2023
Yanze Jiang, Jianfeng Sun, Yuanxue Ding, Wei Lu, Sining Li
Gm-APD Lidar can realize single-photon level detection and fast long-distance three-dimensional imaging, which has important application value in many fields. However, there is currently no large-scale public dataset constructed by the data of this Lidar, which limits the application of deep learning-based algorithms on this type of data. Therefore, proposed a two-stage data generation model. Firs... hiện toàn bộ
Combining 2D and 3D deep models for action recognition with depth information
Signal, Image and Video Processing - Tập 12 - Trang 1197-1205 - 2018
Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can
In activity recognition, usage of depth data is a rapidly growing research area. This paper presents a method for recognizing single-person activities and dyadic interactions by using deep features extracted from both 3D and 2D representations, which are constructed from depth sequences. First, a 3D volume representation is generated by considering spatiotemporal information in depth frames of an ... hiện toàn bộ
Optimizing nonlinear activation function for convolutional neural networks
Signal, Image and Video Processing - Tập 15 - Trang 1323-1330 - 2021
Munender Varshney, Pravendra Singh
Activation functions play a critical role in the training and performance of the deep convolutional neural networks. Currently, the rectified linear unit (ReLU) is the most commonly used activation function for the deep CNNs. ReLU is a piecewise linear function that will output the input directly if it is positive, otherwise, it will output zero. In this work, we propose a novel approach to genera... hiện toàn bộ
VEDesc: vertex-edge constraint on local learned descriptors
Signal, Image and Video Processing - Tập 17 - Trang 865-872 - 2021
Jianhua Yin, Longzhen Zhu, Yang Bai, Zhenyu He
To improve the performance of local learned descriptors, many researchers pay primary attention to the triplet loss network. As expected, it is useful to achieve state-of-the-art performance on various datasets. However, these local learned descriptors suffer from the inconsistency problem without considering the relationship between two descriptors in a patch. Consequently, the problem causes the... hiện toàn bộ
A real-world underwater image enhancement method based on multi-color space and two-stage adaptive fusion
Signal, Image and Video Processing - - Trang 1-15 - 2024
Kai Ji, Weimin Lei, Wei Zhang
Due to the influence of light scattering, absorption and noise, the underwater environment presents a range of challenges for image processing tasks, such as color cast, low contrast and poor readability. It is truly regrettable that most algorithms primarily rely on synthetic datasets or few real-world river underwater images for evaluation. To address these challenges, we build a river underwate... hiện toàn bộ
PET–MRI image fusion using adaptive filter based on spectral and spatial discrepancy
Signal, Image and Video Processing - Tập 13 - Trang 135-143 - 2018
Arash Saboori, Javad Birjandtalab
Recently, medical imaging equipment has undergone major developments. They play an important role in healthcare industry since they provide visual interpretation of human organs. Magnetic resonance imaging (MRI) and positron emission tomography (PET) are two well-known technologies which capture the structural and functional characteristics of the body organs, respectively. Fusing such functional ... hiện toàn bộ
DWT-based joint antenna selection for correlated MIMO channels
Signal, Image and Video Processing - Tập 3 - Trang 35-45 - 2008
Ehab Farouk Badran
This paper proposes a new discrete wavelet transform (DWT)-based joint antenna selection scheme for spatially correlated multiple-input multiple output (MIMO) channels. To reduce the severe performance degradation of the traditional antenna selection schemes in correlated channels, a new scheme which employ joint antenna selection (JAS) at both link ends algorithm and embed DWT operations in the r... hiện toàn bộ
An interpolation filter based on natural neighbor Galerkin method for salt and pepper noise restoration with adaptive size local filtering window
Signal, Image and Video Processing - Tập 13 - Trang 895-903 - 2019
Payam Sanaee, Payman Moallem, Farbod Razzazi
In this paper, we present a new interpolation filter for salt and pepper noise (SPN) restoration in digital images. The proposed filter is established on decision-based filters (DBF) and consists of two units: noise detection and noise restoration. In noise restoration unit, the natural neighbor Galerkin method (NNGM), which is a two-dimensional scattered data interpolation, is adopted for estimat... hiện toàn bộ
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