Jing Tian

Jing Tian received his B.Eng. degree (Electronic and Information Engineering), from School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, M.Eng. degree (Electronic and Information Engineering), from School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, Ph.D. degree (Electrical and Electronic Engineering), from School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include image processing and computer vision.

Publications

Intelligent Image and Video Interpretation: Algorithms and Applications
Intelligent Image and Video Interpretation: Algorithms and Applications
Jing Tian, Li Chen. © 2013. 277 pages.
Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video...
Review of Sparsity Known and Blind Sparsity Greedy Algorithms for Compressed Sensing
Review of Sparsity Known and Blind Sparsity Greedy Algorithms for Compressed Sensing
Chun-Yan Zeng, Li-Hong Ma, Ming-Hui Du, Jing Tian. © 2013. 14 pages.
Sparsity level is crucial to Compressive Sensing (CS) reconstruction, but in practice it is often unknown. Recently, several blind sparsity greedy algorithms have emerged to...
Thresholding Selection Based on Fuzzy Entropy and Bee Colony Algorithm for Image Segmentation
Thresholding Selection Based on Fuzzy Entropy and Bee Colony Algorithm for Image Segmentation
Yonghao Xiao, Weiyu Yu, Jing Tian. © 2013. 19 pages.
Image thresholding segmentation based on Bee Colony Algorithm (BCA) and fuzzy entropy is presented in this chapter. The fuzzy entropy function is simplified with single...