L
Lunke Fei
Researcher at Guangdong University of Technology
Publications - 108
Citations - 3863
Lunke Fei is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Computer science & Feature extraction. The author has an hindex of 24, co-authored 75 publications receiving 1896 citations. Previous affiliations of Lunke Fei include Harbin Institute of Technology Shenzhen Graduate School & University of Macau.
Papers
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Deep learning on image denoising: An overview.
TL;DR: A comparative study of deep techniques in image denoising by classifying the deep convolutional neural networks for additive white noisy images, the deep CNNs for real noisy images; the deepCNNs for blind Denoising and the deep network for hybrid noisy images.
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Attention-guided CNN for image denoising.
TL;DR: An attention-guided denoising convolutional neural network (ADNet), mainly including a sparse block (SB), a feature enhancement block (FEB), an attention block (AB) and a reconstruction block (RB) for image Denoising.
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Robust Sparse Linear Discriminant Analysis
TL;DR: A novel feature extraction method called robust sparse linear discriminant analysis (RSLDA) is proposed to solve the above problems and achieves the competitive performance compared with other state-of-the-art feature extraction methods.
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Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement
TL;DR: This paper presented a review of the detection and classification method of a foggy image, and summarized existing image defogging algorithms, including image restoration algorithms, image contrast enhancement algorithms, and fusion-based defogged algorithms.
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Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation
TL;DR: A unified framework is proposed to use a unified framework to classify palmprint images into four categories: 1) the contact-based; 2) contactless; 3) high-resolution; and 4) 3-D palm print images.