Image quality assessment based on edge preservation

Martini, M.G., Hewage, C. and Villarini, B. 2012. Image quality assessment based on edge preservation. Signal Processing: Image Communication. 27 (8), pp. 875-882. doi:10.1016/j.image.2012.01.012

TitleImage quality assessment based on edge preservation
AuthorsMartini, M.G., Hewage, C. and Villarini, B.
Abstract

Objective image/video quality metrics which accurately represent the subjective quality of processed images are of paramount importance for the design and assessment of an image compression and transmission system. In some scenarios, it is also important to evaluate the quality of the received image with minimal reference to the transmitted one. For instance, for closed-loop optimization of a transmission system, the image quality measure can be evaluated at the receiver and provided as feedback information to the system controller. The original image – prior to compression and transmission – is not usually available at the receiver side, and it is important to rely at the receiver side on an objective quality metric that does not need reference or needs minimal reference to the original image. The observation that the human eye is very sensitive to edge and contour information of an image underpins the proposal of our reduced reference (RR) quality metric, which compares edge information between the distorted and the original image. Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art reduced reference metric.

KeywordsImage quality assessment; Perceptual quality; Reduced-reference; Edge detection; Sobel filtering
JournalSignal Processing: Image Communication
Journal citation27 (8), pp. 875-882
ISSN0923-5965
Year2012
PublisherElsevier
Digital Object Identifier (DOI)doi:10.1016/j.image.2012.01.012
Publication dates
Published09 Feb 2012

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