Sanjida Sultana Putul

Work place: Department of Computer Science and Engineering, North Western University, Khulna, Bangladesh



Research Interests: Computer systems and computational processes, Neural Networks, Pattern Recognition, Computer Networks, Data Mining, Data Structures and Algorithms


Sanjida Sultana Putul is currently pursuing B.Sc. Engineering in Computer Science and Engineering, North Western University, Khulna, Bangladesh. Her research interests include image processing, pattern recognition, data mining, machine learning, neural networks, 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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