3 papers
eess.IV2021
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
Yingpin Chen, Yuming Huang, Lingzhi Wang +4
Salt and pepper noise removal is a common inverse problem in image processing. Traditional denoising methods have two limitations. First, noise characteristics are often not descri…
cs.CV2019
Total Variation with Overlapping Group Sparsity and Lp Quasinorm for Infrared Image Deblurring under Salt-and-Pepper Noise
Xingguo Liu, Yinping Chen, Zhenming Peng +1
Because of the limitations of the infrared imaging principle and the properties of infrared imaging systems, infrared images have some drawbacks, including a lack of details, indis…
eess.SP2018
Seismic signal sparse time-frequency analysis by Lp-quasinorm constraint
Yingpin Chen, Zhenming Peng, Ali Gholami +2
Time-frequency analysis has been applied successfully in many fields. However, the traditional methods, like short time Fourier transform and Cohen distribution, suffer from the lo…