Rana Aamir Raza

Work place: College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China

E-mail: ssputul@gmail.com


Research Interests: Computational Learning Theory, Neural Networks, Pattern Recognition


Rana Aamir Raza received the Ph.D. degree from Shenzhen University; he obtained his Master of Computer Science degree from Blekinge Tekniska Hogskola (BTH), Karlskrona, Sweden. He also received his M.Sc. degrees in Computer Science from Bahauddin Zakariya University Multan, Pakistan. Since 2010, he is working as an Assistant Professor in Department of Computer Science, Bahauddin Zakariya University Multan, Pakistan. His main research interests include pattern recognition, machine learning, neural networks, and their related applications.

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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