Jun Feng

Orcid: 0000-0001-8066-5261

Affiliations:
  • Chengdu University of Technology, Geomathematics Key Lab of Sichuan Province, China
  • Sichuan University, College of Computer, Chengdu, China (former)


According to our database1, Jun Feng authored at least 11 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Multigranularity Feature Fusion Convolutional Neural Network for Seismic Data Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

Low-Rank Tensor Minimization Method for Seismic Denoising Based on Variational Mode Decomposition.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Seismic Data Denoising Based on Tensor Decomposition With Total Variation.
IEEE Geosci. Remote. Sens. Lett., 2021

2018
A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection.
Entropy, 2018

2017
An Anisotropic Diffusion-Based Dynamic Combined Energy Model for Seismic Denoising.
IEEE Geosci. Remote. Sens. Lett., 2017

A Weighted Error Compensation Algorithm for Image Denoising Based on Noise Variance Estimation.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

A New Filled Function Method with Unconstrained Global Optimization.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

A partial differential equation model based on noise estimation for image denoising.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2013
An adaptive dynamic combined energy minimization model for few-view computed tomography reconstruction.
Int. J. Imaging Syst. Technol., 2013

A novel kernel-based limited-view computerized tomography reconstruction via anisotropic diffusion.
Comput. Electr. Eng., 2013

2011
Improved kernel-based limited-view CT reconstruction VIA anisotropic diffusion.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011


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