Md. Robiul Islam

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



Research Interests: Computer systems and computational processes, Computational Learning Theory, Evolutionary Computation, Computer Architecture and Organization, Data Mining, Data Structures and Algorithms


Md. Robiul Islam is a Ph.D. Fellow in Computer Science and Software Engineering, Shenzhen University, Guangdong, China. He received M.Sc. Engineering degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET), Bangladesh. He has several years teaching and administrative experiences in universities and organizations. His research interests include image processing, evolutionary and bio-inspired computing, machine learning, data mining and computer networking.

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:, 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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