TY - GEN
T1 - Local binary pattern statistics feature for reduced reference image quality assessment
AU - Zhang, Min
AU - Mou, Xuanqin
AU - Fujita, Hiroshi
AU - Zhang, Lei
AU - Zhou, Xiangrong
AU - Xue, Wufeng
PY - 2013/4/11
Y1 - 2013/4/11
N2 - Measurement of visual quality is of fundamental importance for numerous image and video processing applications. This paper presented a novel and concise reduced reference (RR) image quality assessment method. Statistics of local binary pattern (LBP) is introduced as a similarity measure to form a novel RR image quality assessment (IQA) method for the first time. With this method, first, the test image is decomposed with a multi-scale transform. Second, LBP encoding maps are extracted for each of subband images. Third, the histograms are extracted from the LBP encoding map to form the RR features. In this way, image structure primitive information for RR features extraction can be reduced greatly. Hence, new RR IQA method is formed with only at most 56 RR features. The experimental results on two large scale IQA databases show that the statistic of LBPs is fairly robust and reliable to RR IQA task. The proposed methods show strong correlations with subjective quality evaluations.
AB - Measurement of visual quality is of fundamental importance for numerous image and video processing applications. This paper presented a novel and concise reduced reference (RR) image quality assessment method. Statistics of local binary pattern (LBP) is introduced as a similarity measure to form a novel RR image quality assessment (IQA) method for the first time. With this method, first, the test image is decomposed with a multi-scale transform. Second, LBP encoding maps are extracted for each of subband images. Third, the histograms are extracted from the LBP encoding map to form the RR features. In this way, image structure primitive information for RR features extraction can be reduced greatly. Hence, new RR IQA method is formed with only at most 56 RR features. The experimental results on two large scale IQA databases show that the statistic of LBPs is fairly robust and reliable to RR IQA task. The proposed methods show strong correlations with subjective quality evaluations.
KW - Image quality assessment (IQA)
KW - local binary pattern
KW - reduced reference
UR - http://www.scopus.com/inward/record.url?scp=84875881472&partnerID=8YFLogxK
U2 - 10.1117/12.2008646
DO - 10.1117/12.2008646
M3 - Conference article published in proceeding or book
AN - SCOPUS:84875881472
SN - 9780819494337
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography IX
T2 - Digital Photography IX
Y2 - 4 February 2013 through 6 February 2013
ER -