Noise Levels in Colour Image Enhancement

David Armitage; J P Oakley

doi:10.1049/cp:20030498

Noise Levels in Colour Image Enhancement

David Armitage
, J P Oakley

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

This paper reports an investigation into the factors that limit the performance of recent model-based digital image enhancement. These algorithms mitigate the reduction of image contrast due to atmospheric scattering. A model is formulated for the peak signal to noise ratio (PSNR) in the output image as a function of the range, wavelength and atmospheric conditions. The predictions from this model are compared with the results from field tests of a CCD-based imaging system in haze conditions.

Original language	English
Title of host publication	IEE Visual Image Engineering University of Surrey July 2003
DOIs	https://doi.org/10.1049/cp:20030498
Publication status	Published - 2003
Event	Proceedings of IET International Conference on Vision and Image Engineering (VIE2003) - Duration: 1 Jan 1824 → …

Conference

Conference	Proceedings of IET International Conference on Vision and Image Engineering (VIE2003)
Period	1/01/24 → …

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10.1049/cp:20030498

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title = "Noise Levels in Colour Image Enhancement",

abstract = "This paper reports an investigation into the factors that limit the performance of recent model-based digital image enhancement. These algorithms mitigate the reduction of image contrast due to atmospheric scattering. A model is formulated for the peak signal to noise ratio (PSNR) in the output image as a function of the range, wavelength and atmospheric conditions. The predictions from this model are compared with the results from field tests of a CCD-based imaging system in haze conditions.",

author = "David Armitage and Oakley, \{J P\}",

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doi = "10.1049/cp:20030498",

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AB - This paper reports an investigation into the factors that limit the performance of recent model-based digital image enhancement. These algorithms mitigate the reduction of image contrast due to atmospheric scattering. A model is formulated for the peak signal to noise ratio (PSNR) in the output image as a function of the range, wavelength and atmospheric conditions. The predictions from this model are compared with the results from field tests of a CCD-based imaging system in haze conditions.

U2 - 10.1049/cp:20030498

DO - 10.1049/cp:20030498

M3 - Conference contribution

BT - IEE Visual Image Engineering University of Surrey July 2003

T2 - Proceedings of IET International Conference on Vision and Image Engineering (VIE2003)

Y2 - 1 January 1824

ER -

Noise Levels in Colour Image Enhancement

Abstract

Conference

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