Abstract
Image enhancement within machine vision systems has been performed a variety of ways with the end goal of producing a better scene for further processing. The majority of approaches for enhancing an image scene and producing higher quality images have been explored employing only a single image. An alternate approach, yet to be fully explored, is the use of image sequences utilizing multiple image frames of information to generate an enhanced image for processing within a machine vision system.
This paper describes a new approach to image enhancement for controlling lighting characteristics within an image called Frame Extraction Through Time (FETT). Using multiple image frames of data, FETT can be used to perform a number of lighting enhancement tasks such as scene normalization, nighttime traffic surveillance, and shadow removal for video conferencing systems.
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© 2008 Springer Science+Business Media B.V.
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Coleshill, E., Ferworn, A., Stacey, D. (2008). Image Enhancement Using Frame Extraction Through Time. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_24
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DOI: https://doi.org/10.1007/978-1-4020-8741-7_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8740-0
Online ISBN: 978-1-4020-8741-7
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