A robust functional minimization technique to protect image details from disturbances

A robust functional minimization technique to protect image details from disturbances

Автор: Robiul Islam, Chen Xu, Yu Han, Sanjida Sultana Putul, Rana Aamir Raza

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 7 Vol. 11, 2019 года.

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

Короткий адрес: https://sciup.org/15016368

IDR: 15016368   |   DOI: 10.5815/ijitcs.2019.07.01

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