TY - GEN
T1 - A no-reference perceptual texture regularity metric
AU - Varadarajan, Srenivas
AU - Karam, Lina
PY - 2013/10/18
Y1 - 2013/10/18
N2 - This paper presents a no reference perceptual metric that quantifies the degree of regularity in textures. The metric is based on the probability of visual attention at each pixel of the texture image, similarity of visual attention of the textural primitives and the periodic spatial distribution of foveated fixation regions throughout the image. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the regularity of textures.
AB - This paper presents a no reference perceptual metric that quantifies the degree of regularity in textures. The metric is based on the probability of visual attention at each pixel of the texture image, similarity of visual attention of the textural primitives and the periodic spatial distribution of foveated fixation regions throughout the image. It is shown through subjective testing that the proposed metric has a strong correlation with the Mean Opinion Score for the regularity of textures.
KW - Image Quality Assessment
KW - Randomness
KW - Texture Analysis
KW - Visual Attention
UR - http://www.scopus.com/inward/record.url?scp=84890540171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890540171&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6637982
DO - 10.1109/ICASSP.2013.6637982
M3 - Conference contribution
AN - SCOPUS:84890540171
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1894
EP - 1898
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -