Mobile QR Code QR CODE

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2023-08 (Vol.12 No.04)
  4. 10.5573/IEIESPC.2023.12.4.300
XML PDF INFO REF

REFERENCES

1 
I. Abas, N. A. Baykan, “Multi-Focus Image Fusion with Multi-Scale Transform Optimized by Metaheuristic Algorithms,” Traitement du Signal, 2021, vol. 38, pp. 247-259.DOI
2 
D. Khaustov, Y. Khaustov, R. Ye, E. Lychkowskyy, N. Yu, “Jones formalism for image fusion,” Ukrainian Journal of Physical Optics, 2021, vol. 22, pp. 165-180.URL
3 
P. Singh, M. Diwakar, X. Cheng, A. Shankar, “A new wavelet-based multi-focus image fusion technique using method noise and anisotropic diffusion for real-time surveillance application,” Journal of Real-Time Image Processing, 2021, vol. 18, no. 4, pp. 1051-1068.DOI
4 
S. Babu, R.V. Krishna, J.S. Rao, P.R. Kumar, “NSCT And Eigen Features Based Image Fusion,” Solid State Technology, 2021, vol. 63, no. 5, pp. 5806-5813.URL
5 
Y. B. Qi, M. Yu, H. Jiang, H. Shao, G.Y. Jiang, “Multi-exposure image fusion based on tensor decomposition and convolution sparse representation,” Opto-Electronic Engineering, 2019, vol. 46, no. 1, pp. 4-16.URL
6 
H. B. Zhou, J. L. Hou, W. Wu, Y. Zhang, Y. Wu, J.Y. Ma, “Infrared and Visible Image Fusion Based on Semantic Segmentation,” Journal of Computer Research and Development, 2021, vol. 58, no. 2, pp. 436-443.URL
7 
Y. S. Du, C. B. Huang, “Multi exposure image fusion algorithm based on quality metric coupled with color correction”. Journal of Electronic Measurement and Instrumentation, 2019, vol. 33, no. 1, pp. 90-98.URL
8 
M. Zheng, G. Qi, Z. Zhu, et al. “Image dehazing by an artificial image fusion method based on adaptive structure decomposition”. IEEE Sensors Journal, 2020, 14, pp. 8062-8072.URL
9 
Y. Yang, Z. Nie, S. Huang, et al. “Multilevel features convolutional neural network for multifocus image fusion”. IEEE Transactions on Computational Imaging 2019, vol. 5, no. 2, pp. 262-273.DOI
10 
Q. Zhang, Y. Liu, R. S. Blum, et al. “Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review”. Information Fusion 2018, vol. 40, no. 1, pp. 57-75.DOI
11 
S. Javed, A. Mahmood, S. Al-Maadeed, et al. “Moving object detection in complex scene using spatiotemporal structured-sparse RPCA.” IEEE Transactions on Image Processing 2018, vol. 28, no. 2, pp. 1007-1022.DOI
12 
D. P. Bavirisetti, G. Xiao, J. Zhao, et al. “Multi-scale guided image and video fusion: A fast and efficient approach”. Circuits, Systems, and Signal Processing 2019, vol. 38, no. 12, pp. 5576-5605.DOI
13 
Yadav S P. Vision-based detection, tracking, and classification of vehicles[J]. IEIE Transactions on Smart Processing & Computing, 2020, vol. 9, no. 6, pp. 427-434.URL
14 
Yadav S P, Yadav S. Image fusion using hybrid methods in multimodality medical images[J]. Medical & Biological Engineering & Computing, 2020, vol. 58. pp. 669-687.DOI
15 
Ma X, Wang Z, Li H, et al. Accurate monocular 3d object detection via color-embedded 3d recon-struction for autonomous driving[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019, pp. 6851-6860.URL
16 
Li G, Liu Z, Ling H. ICNet: Information conversion network for RGB-D based salient object detection[J]. IEEE Transactions on Image Processing, 2020, vol. 29, pp. 4873-4884.DOI
17 
V. Mandrikova, A. I. Rodomanskaya, B. S. Mandrikova, “Application of the New Wavelet-Decomposition Method for the Analysis of Geomagnetic Data and Cosmic Ray Variations,” Geomagnetism and Aeronomy 2021, vol. 61, no. 4, pp. 492-507.DOI
18 
E. H. Hssayni, N. E. Joudar, M. Ettaouil, “KRR-CNN: kernels redundancy reduction in convolutional neural networks,” Neural Computing and Applications 2021, vol. 34, no. 3, pp. 2443-2454.DOI
19 
G. Rousseau, C. S. Maniu, S. Tebbani, M. Babel, N. Martin, “Minimum-time B-spline trajectories with corridor constraints. Application to cinematographic quadrotor flight plans,” Control Engineering Practice 2019, vol. 89, no. 8, pp. 190-203.DOI
20 
T. Tadakuma, M. Rogers, K. Nishi, M. Joko, M. Shoyama, “Carrier Stored Layer Density Effect Analysis of Radiated Noise at Turn-On Switching via Gabor Wavelet Transform,” IEEE Transactions on Electron Devices 2021, vol. 68, no. 4, pp. 1827-1834.DOI
21 
N. A. Sheikh Ahmad, “Novel special affine wavelet transform and associated uncertainty principles,” International Journal of Geometric Methods in Modern Physics 2021, vol. 18, no. 04, pp. 1801-1803.DOI
22 
T. Patcharoen, A. Ngaopitakkul, “Transient Inrush and Fault Current Signal Extraction Using Discrete Wavelet Transform for Detection and Classification in Shunt Capacitor Banks,” IEEE Transactions on Industry Applications 2020, vol. 56, no. 2, pp. 1226-1239.DOI
23 
X. Liu, J. Ma, D. Chen, L. Y. Zhang, “Real-time Unmanned Aerial Vehicle Cruise Route Optimization for Road Segment Surveillance using Decomposition Algorithm,” Robotica 2021, vol. 39, no. 6, pp. 1007-1022.DOI
24 
P. Sandeep, T. Jacob, “Joint Color Space GMMs for CFA Demosaicking,” IEEE Signal Processing Letters 2019, vol. 26, no. 2, pp. 232-236.DOI
25 
S. Cope, E. Hines, R. Bland, JD. Davis, B. Tougher, V. Zetterlind, “Multi-sensor integration for an assessment of underwater radiated noise from common vessels in San Francisco Bay,” The Journal of the Acoustical Society of America 2021, vol. 149, no. 4, pp. 2451-2464.DOI
26 
L. L. Luan, “Visual Information Visual Communication Simulation of Image and Graphics Fusion,” Computer Simulation 2021, vol. 38, no. 10, pp. 424-428.URL
27 
S. Einy, C. Oz, Y. D. Navaei, “Network Intrusion Detection System Based on the Combination of Multi-objective Particle Swarm Algorithm-Based Feature Selection and Fast-Learning Network,” Wireless Communications and Mobile Computing 2021, vol. 2021, no. 10, pp. 1-12.DOI
28 
W. D. Li, Z. J. Xie, M. Li, “Research on the algorithm of sweeping robot based on multi-sensor fusion,” Electronic Design Engineering 2021, vol. 29, no. 2, pp. 6.URL
29 
M. Kaucic, “Equity portfolio management with cardinality constraints and risk parity control using multi-objective particle swarm optimization,” Computers & Operations Research 2019, vol. 109, no. 9, pp. 300-316.DOI