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Wenhua Qian - IEEE Xplore Author Profile
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Wenhua Qian

Also published under: Wen-hua Qian, Wen-Hua Qian

Publications
24
Citations
293
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (41)
Image of author Wenhua Qian

Wenhua Qian

Also published under: Wen-hua Qian, Wen-Hua Qian

Affiliation

School of Information Science and Engineering
Yunnan University
Kunming, China

Publication Topics

Biography

Wenhua Qian received the M.S. and Ph.D. degrees in computer sciences from Yunnan University, Kunming China, 2005 and 2010, respectively.,He is currently an Associate Professor with the Department of Computer Science and Engineering, Yunnan University. Since 2017, he has been a Post-Doctoral Research Fellow with the Department of Automation, Southeast University, Nanjing, China. His current research interests include nonphotorealistic rendering and image processing.(Based on document published on 17 July 2023).
Publications
24
Citations
293
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (41)
Author's Published Works

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A Retinex Decomposition Model-Based Deep Framework for Infrared and Visible Image Fusion

Xue Wang;Wenhua Qian;Zheng Guan;Jinde Cao;RunZhuo Ma;Chengchao Wang

IEEE Journal of Selected Topics in Signal Processing
Year: 2025 | Volume: 19, Issue: 1 | Journal Article |
Infrared and visible image fusion (IVIF) aims to integrate complementary information between sensors and generate information-rich high-quality images. However, current methods mainly concentrate on the fusion of the source features from the sensors, ignoring the feature information mismatch caused by the property of the sensors, which results in redundant or even invalid information. To tackle th...Show More

A Retinex Decomposition Model-Based Deep Framework for Infrared and Visible Image Fusion

Xue Wang;Wenhua Qian;Zheng Guan;Jinde Cao;RunZhuo Ma;Chengchao Wang

Year: 2025 | Volume: 19, Issue: 1 | Journal Article |

STFuse: Infrared and Visible Image Fusion via Semisupervised Transfer Learning

Xue Wang;Zheng Guan;Wenhua Qian;Jinde Cao;Chengchao Wang;Runzhuo Ma

IEEE Transactions on Neural Networks and Learning Systems
Year: 2025 | Volume: 36, Issue: 1 | Journal Article |
Cited by: Papers (7)
Infrared and visible image fusion (IVIF) aims to obtain an image that contains complementary information about the source images. However, it is challenging to define complementary information between source images in the lack of ground truth and without borrowing prior knowledge. Therefore, we propose a semisupervised transfer learning-based method for IVIF, termed STFuse, which aims to transfer ...Show More

STFuse: Infrared and Visible Image Fusion via Semisupervised Transfer Learning

Xue Wang;Zheng Guan;Wenhua Qian;Jinde Cao;Chengchao Wang;Runzhuo Ma

Year: 2025 | Volume: 36, Issue: 1 | Journal Article |

Multi-Interactive Enhanced for Defocus Blur Estimation

Huaguang Li;Wenhua Qian;Jinde Cao;Rencan Nie;Peng Liu;Dan Xu

IEEE Transactions on Computational Imaging
Year: 2024 | Volume: 10 | Journal Article |
Defocus blur estimation requires high-precision detection between the homogeneous region and transition edge. This paper develops a novel progressive design that effectively addresses this challenge. Our multi-interactive scheme could gradually learn the characteristics of degraded input and divide complex defocus blur estimation into more manageable subnetworks. Specifically, we equally degrade t...Show More

Multi-Interactive Enhanced for Defocus Blur Estimation

Huaguang Li;Wenhua Qian;Jinde Cao;Rencan Nie;Peng Liu;Dan Xu

Year: 2024 | Volume: 10 | Journal Article |

Semi-Supervised Dimensional Media Sentiment Analysis via Exploring Sample Relationships

Peng Liu;Wenhua Qian;Huaguang Li;Jinde Cao

IEEE Transactions on Computational Social Systems
Year: 2024 | Volume: 11, Issue: 4 | Journal Article |
Dimensional sentiment analysis (DSA) aims to recognize continuous real-valued annotations in multidimensional spaces such as valence-arousal space. It can serve as a sentiment analysis that is more fine-grained than traditional polarity classification. Existing methods primarily focused on supervised learning, which requires a large number of training samples. To address this issue, recent studies...Show More

Semi-Supervised Dimensional Media Sentiment Analysis via Exploring Sample Relationships

Peng Liu;Wenhua Qian;Huaguang Li;Jinde Cao

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Necessary and Sufficient Conditions for Event-Triggered Set Stabilizability of Markovian Jump Logical Networks

Lin Lin;Jinde Cao;Jie Zhong;Yang Liu;Wenhua Qian

IEEE Transactions on Cybernetics
Year: 2024 | Volume: 54, Issue: 6 | Journal Article |
Cited by: Papers (1)
This technical paper utilizes the Lyapunov theory to characterize the event-triggered set stabilizability of Markovian jump logical control networks (MJLCNs). Whereas the existing result for checking the set stabilizability of MJLCNs is only sufficient, this technical paper further establishes its necessary and sufficient condition. First, the Lyapunov function is established to describe the set s...Show More

Necessary and Sufficient Conditions for Event-Triggered Set Stabilizability of Markovian Jump Logical Networks

Lin Lin;Jinde Cao;Jie Zhong;Yang Liu;Wenhua Qian

Year: 2024 | Volume: 54, Issue: 6 | Journal Article |

Contrast Saliency Information Guided Infrared and Visible Image Fusion

Xue Wang;Zheng Guan;Wenhua Qian;Jinde Cao;Chengchao Wang;Chao Yang

IEEE Transactions on Computational Imaging
Year: 2023 | Volume: 9 | Journal Article |
Cited by: Papers (4)
This study proposes an infrared and visible image fusion method based on contrast saliency information guided, termed CSFusion. On the one hand, the gradual recovery network is devised to achieve self-refining processing and cross-stage integration of encoded features. Specifically, the network establishes one-to-one feature reuse between the encoder and the decoder, which can effectively facilita...Show More

Contrast Saliency Information Guided Infrared and Visible Image Fusion

Xue Wang;Zheng Guan;Wenhua Qian;Jinde Cao;Chengchao Wang;Chao Yang

Year: 2023 | Volume: 9 | Journal Article |

Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN

Fanmin Kong;Yuanyuan Pu;Ivan Lee;Rencan Nie;Zhengpeng Zhao;Dan Xu;Wenhua Qian;Hong Liang

IEEE Transactions on Neural Networks and Learning Systems
Year: 2023 | Volume: 34, Issue: 9 | Journal Article |
Cited by: Papers (3)
With the development of image style transfer technologies, portrait style transfer has attracted growing attention in this research community. In this article, we present an asymmetric double-stream generative adversarial network (ADS-GAN) to solve the problems that caused by cartoonization and other style transfer techniques when they are applied to portrait photos, such as facial deformation, co...Show More

Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN

Fanmin Kong;Yuanyuan Pu;Ivan Lee;Rencan Nie;Zhengpeng Zhao;Dan Xu;Wenhua Qian;Hong Liang

Year: 2023 | Volume: 34, Issue: 9 | Journal Article |

Non-Fragile H∞ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation

Hao Shen;Xiaohui Hu;Jing Wang;Jinde Cao;Wenhua Qian

IEEE Transactions on Neural Networks and Learning Systems
Year: 2023 | Volume: 34, Issue: 5 | Journal Article |
Cited by: Papers (215)
This work explores the $H_{\infty }$ synchronization issue for singularly perturbed coupled neural networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a novel double-layer switching regulation containing Markov chain and persistent dwell-time switching regulation (PDTSR) is used. The first layer of switching regulation is the Markov chain to characterize the...Show More

Non-Fragile H∞ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation

Hao Shen;Xiaohui Hu;Jing Wang;Jinde Cao;Wenhua Qian

Year: 2023 | Volume: 34, Issue: 5 | Journal Article |

Multi-head Mutual Self-attention Generative Adversarial Network for Texture Synthesis

Shasha Xie;Wenhua Qian

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Example-based texture synthesis requires synthesizing textures that are as similar as possible to the exemplar. However, for complex texture patterns, the existing methods lead to wrong synthesis results due to insufficient feature extraction capabilities. To address this problem, this paper proposed an optimized generative adversarial network model to address the quality issues such as low resolu...Show More

Multi-head Mutual Self-attention Generative Adversarial Network for Texture Synthesis

Shasha Xie;Wenhua Qian

Year: 2022 | Conference Paper |

An Unsupervised Dual Attention Method for 3D Medical Image Registration

Xinwen Yin;Wenhua Qian;Dan Xu;Rencan Nie;Jiebao Zhang

2021 7th International Conference on Computer and Communications (ICCC)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Medical image registration has always been a research hotspot in medical image processing. Compared with other fields (such as image segmentation), the training parameter space is very large and often lacks expert supervised correspondence annotations. These two challenges lead to slow image registration progress. We present a novel unsupervised medical image registration model, which incorporates...Show More

An Unsupervised Dual Attention Method for 3D Medical Image Registration

Xinwen Yin;Wenhua Qian;Dan Xu;Rencan Nie;Jiebao Zhang

Year: 2021 | Conference Paper |

Graph Structural Attention and Increased Global Attention for Image Captioning

Tian Zheng;Wenhua Qian;Rencan Nie;Jinde Cao;Dan Xu

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)
Year: 2021 | Conference Paper |
Attention mechanism plays a significant role in the current encoder-decoder framework of image captioning. Nevertheless, many attention mechanisms only fuse textual feature and image feature once, failing to adequately integrate the feature between context and image. Furthermore, many image captioning networks based on scene graphs only consider the node information but ignore the structure, which...Show More

Graph Structural Attention and Increased Global Attention for Image Captioning

Tian Zheng;Wenhua Qian;Rencan Nie;Jinde Cao;Dan Xu

Year: 2021 | Conference Paper |

Virtual Try-on Network With Attribute Transformation and Local Rendering

Jun Xu;Yuanyuan Pu;Rencan Nie;Dan Xu;Zhengpeng Zhao;Wenhua Qian

IEEE Transactions on Multimedia
Year: 2021 | Volume: 23 | Journal Article |
Cited by: Papers (14)
A virtual try-on network has gradually become a popular topic in recent years. It aims to transfer images of in-shop clothes onto the image of a target person. Owing to the diversity of clothing attributes, developing an image-based virtual try-on network is a complicated task for computers to perform and requires significant effort. Existing methods are unsatisfactory as they cannot preserve the ...Show More

Virtual Try-on Network With Attribute Transformation and Local Rendering

Jun Xu;Yuanyuan Pu;Rencan Nie;Dan Xu;Zhengpeng Zhao;Wenhua Qian

Year: 2021 | Volume: 23 | Journal Article |

Multi-Source Information Exchange Encoding With PCNN for Medical Image Fusion

Rencan Nie;Jinde Cao;Dongming Zhou;Wenhua Qian

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2021 | Volume: 31, Issue: 3 | Journal Article |
Cited by: Papers (40)
Multimodal medical image fusion (MMIF) is to merge multiple images for better imaging quality with preserving different specific features, which could be more informative for efficient clinical diagnosis. In this paper, a novel fusion framework is proposed for multimodal medical images based on multi-source information exchange encoding (MIEE) by using Pulse Coupled Neural Network (PCNN). We const...Show More

Multi-Source Information Exchange Encoding With PCNN for Medical Image Fusion

Rencan Nie;Jinde Cao;Dongming Zhou;Wenhua Qian

Year: 2021 | Volume: 31, Issue: 3 | Journal Article |

The Reform and Exploration of Teaching Team in Postgraduate Courses

Wenhua Qian;Dan Xu;Guowu Yuan;Wu Hao

2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI)
Year: 2020 | Conference Paper |
Postgraduate course teaching plays an important role in postgraduate education. With the development of “double first-class” construction and “new engineering disciplines”, it is imperative to reform the postgraduate course teaching, optimize the teaching system and improve the teaching effect. This paper takes the teaching of “image processing and computer vision” as an example to analyze and res...Show More

The Reform and Exploration of Teaching Team in Postgraduate Courses

Wenhua Qian;Dan Xu;Guowu Yuan;Wu Hao

Year: 2020 | Conference Paper |

Visualization of Batik Cloth Based on Diffusion

Yangtao Yu;Zhenlu Yu;Wenhua Qian;Keshi Zhang;Dan Xu

2016 International Conference on Virtual Reality and Visualization (ICVRV)
Year: 2016 | Conference Paper |
This paper presents a framework which is composed of a batik cloth model, a differential equation and an ellipse model for simulating batik cloth. The batik cloth model consists of three layers: wax layer, warp layer and weft layer. Warp and weft layer interlace between the wax layers. Based on Fick's second law, the differential equation is used to describe diffusion process and is discretized. E...Show More

Visualization of Batik Cloth Based on Diffusion

Yangtao Yu;Zhenlu Yu;Wenhua Qian;Keshi Zhang;Dan Xu

Year: 2016 | Conference Paper |

Fast Multi-band Blending Using Run-Length Encoding

Yili Zhao;Wenhua Qian;Dan Xu

2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
This paper presents a fast implementation of multi-band blending for combining a set of registered images into a composite mosaic with no visible seams and minimal texture distortion. We first compute a unique seam image using two-pass nearest distance transform, which is independent on the order of input images and has good scalability. Each individual mask can be extracted from this seam image q...Show More

Fast Multi-band Blending Using Run-Length Encoding

Yili Zhao;Wenhua Qian;Dan Xu

Year: 2015 | Conference Paper |

A new method of texture synthesis based on gradient structure information searches along a spiral path

Yong-qian Tan;Yuan-yuan Pu;Wen-hua Qian;Dan Xu

Proceedings of the 10th World Congress on Intelligent Control and Automation
Year: 2012 | Conference Paper |
Cited by: Papers (1)
Most of the existing texture synthesis algorithms were proposed in the pursuit of the better synthesis quality or quick synthesis speed, but they could not satisfy requirements at the same time. In this paper, a new texture synthesis algorithm is presented. It adopts the color and the gradient as the similarity measurement of between the two matching patch, which improves their similarity extent. ...Show More

A new method of texture synthesis based on gradient structure information searches along a spiral path

Yong-qian Tan;Yuan-yuan Pu;Wen-hua Qian;Dan Xu

Year: 2012 | Conference Paper |

Video natural texture synthesis based on NPR

Wenhua Qian;Qiao Chen;Cheng Li;Dan Xu;Yuanyuan Pu

2010 3rd International Congress on Image and Signal Processing
Year: 2010 | Conference Paper |
Paper describe an NP-video phenomena model system. It provides a simple non-photorealistic scene model in which users can not only obtain an abstraction, infinite video but also obtain enjoyable and real-time artistic experience. Firstly, we design a new algorithm for fast converting a photo or image to a synthesized painting of abstraction. Secondly, we propose a new modeling video texture based ...Show More

Video natural texture synthesis based on NPR

Wenhua Qian;Qiao Chen;Cheng Li;Dan Xu;Yuanyuan Pu

Year: 2010 | Volume: 1 | Conference Paper |

An Influence Diagrams Structure Learning Method Based on Genetic Algorithm

Lei Bai;Wen-hua Qian

2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics
Year: 2010 | Conference Paper |
Influence diagrams have been widely applied to decision analysis and uncertain inference in many domains. Learning IDs aided by computer is an active research area. An ID structure learning algorithm is presented in this paper by comparing genetic algorithm. Experimental results show that this algorithm is more automatic and works exactly as well as the result of experts.Show More

An Influence Diagrams Structure Learning Method Based on Genetic Algorithm

Lei Bai;Wen-hua Qian

Year: 2010 | Volume: 1 | Conference Paper |

Implementation and Research of Multi-method Color Transfer Algorithms in Different Color Spaces

Yuanyuan Pu;Xiaomin Wei;Yi Su;Zhengpeng Zhao;Wenhua Qian;Dan Xu

2010 International Conference on Machine Vision and Human-machine Interface
Year: 2010 | Conference Paper |
Cited by: Papers (2)
Color Transfer is used widely in the field of image processing. Color space and transfer algorithm need to be identified to complete color transfer. However, any one color space can not fit for all kinds of image and different transfer algorithms produce different effects. In this paper, three color spaces such as RGB, are used to achieve three color transfer algorithms and transfer effects are an...Show More

Implementation and Research of Multi-method Color Transfer Algorithms in Different Color Spaces

Yuanyuan Pu;Xiaomin Wei;Yi Su;Zhengpeng Zhao;Wenhua Qian;Dan Xu

Year: 2010 | Conference Paper |

A NPR Technique of Abstraction Effects

Wen-Hua Qian;Dan Xu;Guan Zheng

2009 2nd International Congress on Image and Signal Processing
Year: 2009 | Conference Paper |
To provide with an effective method for non-photorealistic rendering for computer generated images with abstraction artistic appearances from 2D images motivates our work in this paper. The methods proposed are inspired by modifying the contrast of visually important features, like luminance and color opponency. In this paper, we mainly propose the method for generating the abstraction appearances...Show More

A NPR Technique of Abstraction Effects

Wen-Hua Qian;Dan Xu;Guan Zheng

Year: 2009 | Conference Paper |

Stylized Rendering of Yunnan Heavy Color Painting

Yuanyuan Pu;Yi Su;Xiaomin Wei;Yang Zhao;Dan Xu;Wenhua Qian

2008 Second International Symposium on Intelligent Information Technology Application
Year: 2008 | Conference Paper |
Cited by: Papers (2)
A research on stylized rendering of Yunnan heavy color painting is attempted in this paper. First, plentiful Yunnan heavy color paintings are collected. Texture patches are extracted from these paintings and a texture library is constructed. The technique of edge detection in image space is used to extract the outline from photographic image and produce an outline drawing. The photographic image i...Show More

Stylized Rendering of Yunnan Heavy Color Painting

Yuanyuan Pu;Yi Su;Xiaomin Wei;Yang Zhao;Dan Xu;Wenhua Qian

Year: 2008 | Volume: 3 | Conference Paper |

A Mapping Technique Based on Texture Synthesis

Wenhua Qian;Dan Xu;Cheng Li

2008 International Symposium on Information Science and Engineering
Year: 2008 | Conference Paper |
To provide with an effective method for computer generated images with artistic appearances from 2D images motivates our work in this paper. We mainly propose the method for generating the artistic appearances based on the deviation mapping technique. As the preprocessing of the deviation mapping, the texture synthesis can be fulfilled to produce the background image with the same size of the fore...Show More

A Mapping Technique Based on Texture Synthesis

Wenhua Qian;Dan Xu;Cheng Li

Year: 2008 | Volume: 2 | Conference Paper |

An Algorithm for Natural Phenomena Simulation Based on Video Texture Synthesis

Cheng Li;Dan Xu;Wen-hua Qian

2008 International Symposium on Information Science and Engineering
Year: 2008 | Conference Paper |
Cited by: Papers (1)
This paper proposed an improved video-based texture synthesis approach for simulating realistic natural phenomena. The algorithm measures similarity of every two frames to determine a preliminary playing sequence and then divide the preliminary playing sequence into several subsequences with different frame-to-frame delay so as to remove visual discontinuities. For removing the abrupt change from ...Show More

An Algorithm for Natural Phenomena Simulation Based on Video Texture Synthesis

Cheng Li;Dan Xu;Wen-hua Qian

Year: 2008 | Volume: 2 | Conference Paper |

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