Approach to local contrast enhancement

Konieczka, Adam; Balcerek, Julian; Chmielewska, Agata; Dąbrowski, Adam

doi:10.1109/spa.2015.7365106

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…Within the category of non-linear function mapping methods, the use of gamma correction as a power-law correction of intensities is a popular approach to enhance an image [29,30]. In order to remove uneven illuminations, the multi-scale Retinex method can be applied globally or locally on the image [31][32][33]. When it is required to expose wear particles from its backgrounds in OLVF images, techniques based on extracting and magnifying object edges can be used [34,35].…”

Section: Introductionmentioning

confidence: 99%

Restoration of online video ferrography images for out-of-focus degradations

Yan

et al. 2018

J Image Video Proc.

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Ferrography is a technology that can be applied in inspecting features of wear particles in machines and inferring their health status. With the development of online ferrography, which employs image processing to captured wear particle images, the inspection process has become automatic. However, it is found that images captured often contain out-of-focus degradations and low brightness. A restoration framework is here proposed to mitigate this problem. The main idea is to extract object edges, magnify with a non-linear gain factor, then combine with the input image to produce an enhanced image to facilitate further analysis. Parameters adopted in the process are optimized using a metaheuristic search where the image information content and brightness are maximized. Experimental results, obtained from processing real-world wear particle images in lubricant circuits, have shown qualitative and quantitative improvements over the input images.

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Section: Introductionmentioning

confidence: 99%

Restoration of online video ferrography images for out-of-focus degradations

Yan

et al. 2018

J Image Video Proc.

View full text Add to dashboard Cite

show abstract

Approach to local contrast enhancement

Cited by 1 publication

References 15 publications

Restoration of online video ferrography images for out-of-focus degradations

Restoration of online video ferrography images for out-of-focus degradations

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