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LID-Net: A lightweight image dehazing network for automatic driving vision systems Journal article
Tao, Fazhan, Chen, Qi, Fu, Zhigao, Zhu, Longlong, Ji, Baofeng. LID-Net: A lightweight image dehazing network for automatic driving vision systems[J]. Digital Signal Processing: A Review Journal, 2024, 154, 104673.
Authors:  Tao, Fazhan;  Chen, Qi;  Fu, Zhigao;  Zhu, Longlong;  Ji, Baofeng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2024/08/05
Attention Mechanism  Automatic Driving  Image Dehazing  Multi-scale Feature  Receptive Field  
Quaternion optimized model with sparseness for color image recovery Journal article
Liqiao Yang, Yang Liu, Kit Ian Kou. Quaternion optimized model with sparseness for color image recovery[J]. Digital Signal Processing, 2024.
Authors:  Liqiao Yang;  Yang Liu;  Kit Ian Kou
Adobe PDF | Favorite |   IF:2.9/2.9 | Submit date：2024/09/27
Geometric consistent fuzzy cluster ensemble with membership reconstruction for image segmentation Journal article
Shi, Pengfei, Guo, Li, Cui, Hairong, Chen, Long. Geometric consistent fuzzy cluster ensemble with membership reconstruction for image segmentation[J]. DIGITAL SIGNAL PROCESSING, 2022, 134, 103901.
Authors:  Shi, Pengfei;  Guo, Li;  Cui, Hairong;  Chen, Long
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:2.9/2.9 | Submit date：2023/02/28
Fuzzy Ensemble Cluster  Membership Linear Reconstruction  Prior Knowledge  Local Geometry Structure  Image Segmentation  
Signal reconstruction from noisy multichannel samples Journal article
Dong Cheng, Xiaoxiao Hu, Kit Ian Kou. Signal reconstruction from noisy multichannel samples[J]. Digital Signal Processing, 2022, 129, 103673.
Authors:  Dong Cheng;  Xiaoxiao Hu;  Kit Ian Kou
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2022/08/24
Signal Reconstruction  Multichannel Samples  Noise Reduction  Smoothing  Regularization  
Integrating guided filter into fuzzy clustering for noisy image segmentation Journal article
Guo, Li, Chen, Long, Chen, C. L. Philip, Zhou, Jin. Integrating guided filter into fuzzy clustering for noisy image segmentation[J]. DIGITAL SIGNAL PROCESSING, 2018, 83, 235-248.
Authors:  Guo, Li;  Chen, Long;  Chen, C. L. Philip;  Zhou, Jin
Favorite | TC[WOS]:39 TC[Scopus]:52  IF:2.9/2.9 | Submit date：2019/01/17
Fuzzy Clustering Method  Image Segmentation  Guided Filter  Information Integration  
A mean approximation based bidimensional empirical mode decomposition with application to image fusion Journal article
Jianjia Pan, Yuan Yan Tang. A mean approximation based bidimensional empirical mode decomposition with application to image fusion[J]. Digital Signal Processing: A Review Journal, 2016, 50, 61-71.
Authors:  Jianjia Pan;  Yuan Yan Tang
Favorite | TC[WOS]:8 TC[Scopus]:16  IF:2.9/2.9 | Submit date：2019/02/11
Empirical Mode Decomposition  Image Fusion  Intrinsic Mode Function  Mean Approximation  
A novel illumination-robust local descriptor based on sparse linear regression Journal article
Yang Zuodong, Wu Yong, Zhao Wenteng, Zhou Yicong, Lu Zongqing, Li Weifeng, Liao Qingmin. A novel illumination-robust local descriptor based on sparse linear regression[J]. Digital Signal Processing, 2016, 48, 269-275.
Authors:  Yang Zuodong;  Wu Yong;  Zhao Wenteng;  Zhou Yicong;  Lu Zongqing; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2018/12/21
Face Recognition  Illumination-insensitive Representation  Local Descriptor  Sparse Linear Regression  
A new series-wound framework for generating 1D chaotic maps Conference paper
Hua Zhongyun, Zhou Yicong, Chen C.L.P.. A new series-wound framework for generating 1D chaotic maps[C], 2013, 118-123.
Authors:  Hua Zhongyun;  Zhou Yicong;  Chen C.L.P.
Favorite | TC[Scopus]:17 | Submit date：2018/12/21
Chaotic Map  Chaotic System  Series-wound  
A new selective filtering algorithm for image denoising Conference paper
Liu Licheng, Zhou Yicong, Chen C.L.P.. A new selective filtering algorithm for image denoising[C], 2013, 193-197.
Authors:  Liu Licheng;  Zhou Yicong;  Chen C.L.P.
Favorite | TC[Scopus]:2 | Submit date：2018/12/21
Image Denoising  Impulse Noise  Noise Detection  Selective Filtering  
A novel instantaneous frequency computation approach for empirical mode decomposition Conference paper
Zhang, L.. A novel instantaneous frequency computation approach for empirical mode decomposition[C], Perth:World Academy of Science, Engineering and Technology, 2012, 110-114.
Authors:  Zhang, L.
Favorite |  | Submit date：2022/07/27
Instantaneous frequency  empirical mode decomposition  intrinsic mode function