Single Image Super Resolution : A Comparative Study

Youssef, Aliaa; Zarif, Sameh; Ghoneim, Amr S.

doi:10.5121/csit.2017.70213

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Cited by 2 publications

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“…3 shows face images captured by a distant camera in unconstrained settings. The main challenges in recognizing such faces are variations due to blur, pose and illumination [4], [5]. Moreover, to improve the quality of an image from a low-resolution sample, a source of difficulties when processing outdoor images is the presence of haze, fog or smokes which fades the colours and reduces the contrast of the observed objects.…”

Section: Literature Reviewmentioning

confidence: 99%

Benchmarking of Pre-Processing Methods Employed in Facial Image Analysis

Fathy¹,

Ghoneim²,

Zarif³

et al. 2018

JOIG

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most outstanding abilities of human vision. Building an automated system that accomplishes such objective is very challenging. The challenges mainly come from the large variations in the visual stimulus due to illumination conditions, blurring and long distance acquisition. As part of an ongoing project tackling the detection and handling of those three problems, we present in this paper a review and a comparative analysis of the state-of-the-art approaches to enhance the contrast and equalize the illumination of facial images. The comparative performance measurebased on appropriate metricsis accomplished among available methods, using two publicly available facial datasets with a total of about 500 images. 

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Section: Literature Reviewmentioning

confidence: 99%