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DOI: 10.14569/IJACSA.2019.0101273
PDF

A New Method to Find Image Recovery

Author 1: Nouf Saeed Alotaibi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 12, 2019.

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Abstract: Scattering media imagery is degraded during the physical process of image formation, which shifts contrast, color, and turns overall visibility white. With the computer vision system, sight can be amazingly restored. Although the medium transmission in distant artifacts is small, it is vulnerable to amplification of the noise. Here we present / propose the picture recovery of the L0 gradient, which solves the issue discussed previously. In comparison to raw images, the single image is processed and recovered significantly improves while noise amplification discards. The state-of-the-art studies on dehazing have been reviewed in this paper. In addition, L0-gradient minimization of image smoothing was studied in combination with H Kosmedier Image Formation Physical System to solve the dehazing issue as L0 smoothing approximates better results with higher false discovery rate (FDR) .Recovery using L0-Gradient Minimization is formalized in a depth chart that reduces noise adaptively to recover estimated structures marginally in spatially changing media delivery. The minimal gradient is non-zero. Therefore, noise and blur in the nearby objects with low measurement difficulty and impact have been effectively removed, raising the transmitting approximation contributing to the enhancement of the recovered image. We are experimenting with atmospheric, submarine, at night, indoor turbid medium images qualitatively and quantitatively.

Keywords: Computer vision; image enhancement; digital image processing

Nouf Saeed Alotaibi, “A New Method to Find Image Recovery” International Journal of Advanced Computer Science and Applications(IJACSA), 10(12), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101273

@article{Alotaibi2019,
title = {A New Method to Find Image Recovery},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101273},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101273},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {12},
author = {Nouf Saeed Alotaibi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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