Yu Han

Work place: College of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, China

E-mail: hany@szu.edu.cn


Research Interests: Image Compression, Image Manipulation, Image Processing


Han Yu received the Ph.D. degree in Mathematics from Xidian University, Xian, China in 2013. He is currently a Lecturer in College of Mathematics and Statistics, Shenzhen University, Shenzhen, China. He was a research associate in the GAMA Lab, Department of Computing, the Hong Kong Polytechnic University, Hong Kong, from Dec. 2011 to Oct.  2015.  His research interests include variational and partial differential equation based image  processing.

Author Articles
A Robust Functional Minimization Technique to Protect Image Details from Disturbances

By Md. Robiul Islam Chen Xu Yu Han Sanjida Sultana Putul Rana Aamir Raza

DOI: https://doi.org/10.5815/ijitcs.2019.07.01, Pub. Date: 8 Jul. 2019

Image capturing using faulty systems or environmental vulnerabilities always degrade the image quality and causes the distortion of true details from the original imaging signals. Thus a robust way of image enhancement and edge preservation is an enormously requirement for smooth imaging operations. Although, many techniques have been deployed in this area during the decades for its betterment. However, the key challenges are remain towards better tradeoff between image enhancement and details protection. Therefore, this study inspects the existing limitations and proposes a robust technique based on functional minimization scheme in variational framework for ensuring better performance in case of image enhancement and details preservation simultaneously. A vigorous way to solve the minimization problem is also develop to make sure the efficiency of the proposed technique than some other traditional techniques.

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