© 2011 . M.T. Qadri, K.T. Tan, M. Ghanbari. This is a research/review paper, distributed under the terms of the Creative
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Global Journal of Computer Science and Technology
Volume 11 Issue 20 Version 1.0 December 2011
Type: Double Blind Peer Reviewed International Research Journal
Publisher: Global Journals Inc. (USA)
Online ISSN: 0975-4172 & Print ISSN: 0975-4350
The Impact of Spatial Masking in Image Quality Meters
By M.T. Qadri, K.T. Tan, M. Ghanbari
University of Essex, UK
Abstract - Compression of digital image and video leads to block-based visible distortions like
blockiness. The PSNR quality metric doesn’t correlate well with the subjective metric as it doesn’t
take into consideration the impact of human visual system. In this work, we study the impact of
human visual system in masking the coding distortions and its effect on the accuracy of the
quality meter. We have chosen blockiness which is the most common coding distortion in DCT-
based JPEG or intra- coded video. We have studied the role of spatial masking by applying
different masking techniques on full, reduced and no reference meters. As the visibility of
distortion is content dependent, the distortion needs to be masked according to the spatial
activity of the image. The results show that the complexity of spatial masking may be reduced by
using the reference information efficiently. For full and reduced reference meters the spatial
masking hasn’t much importance, if the blockiness detection is accurate, while for the no
reference meter spatial masking is required to compensate the absence of any required
reference information.
Keywords : Image Quality Assessment, Spatial Masking, Blockiness Measurement, Frequency
Domian Analysis.
TheImpactofSpatialMaskinginImageQuality Meters
Strictly as per the compliance and regulations of:
GJCST Classification : I.4.8, I.4.7