A Robust Functional Minimization Technique to Protect Image Details from Disturbances

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Md. Robiul Islam 1 Chen Xu 2,* Yu Han 2 Sanjida Sultana Putul 3 Rana Aamir Raza 1

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China

2. College of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, China

3. Department of Computer Science and Engineering, North Western University, Khulna, Bangladesh

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2019.07.01

Received: 3 Mar. 2019 / Revised: 16 Apr. 2019 / Accepted: 21 Apr. 2019 / Published: 8 Jul. 2019

Index Terms

Image enhancement, dual projection, total variation regularizer, functional minimization


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.

Cite This Paper

Robiul Islam, Chen Xu, Yu Han, Sanjida Sultana Putul, Rana Aamir Raza, "A Robust Functional Minimization Technique to Protect Image Details from Disturbances", International Journal of Information Technology and Computer Science(IJITCS), Vol.11, No.7, pp.1-8, 2019. DOI:10.5815/ijitcs.2019.07.01


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