No-Reference Image Quality Assessment using Blur and Noise

Assessment for image quality traditionally needs its original image as a reference. The conventional method for assessment like Mean Square Error (MSE) or Peak Signal to Noise Ratio (PSNR) is invalid when there is no reference. In this paper, we present a new No-Reference (NR) assessment of image quality using blur and noise. The recent camera applications provide high quality images by help of digital Image Signal Processor (ISP). Since the images taken by the high performance of digital camera have few blocking and ringing artifacts, we only focus on the blur and noise for predicting the objective image quality. The experimental results show that the proposed assessment method gives high correlation with subjective Difference Mean Opinion Score (DMOS). Furthermore, the proposed method provides very low computational load in spatial domain and similar extraction of characteristics to human perceptional assessment.

Authors:

• Min Goo Choi
• Jung Hoon Jung
• Jae Wook Jeon

Keywords:

• No Reference
• Image Quality Assessment
• blur
• noise.

References:

[1] Z. Wang, A.C. Bovik, and L. Lu, "Why is image quality assessment so
difficult?", Proc. IEEE Inter. Conference Acoustics, Speech, and Signal
Processing(ICASSP-2002),Vol.4, pp. 3313-3316, Orlando, FL, 13-17
May 2002.
[2] Video Quality Experts Group (VQEG), http://www.vqeg.org.
[3] M. Pinson and S. Wolf, "Comparing subjective video quality testing
methodologies", Proceedings of the SPIE, Vol. 5150, pp. 573-582, 2003.
[4] Z.M. Parvez Sauzzad, Y. Kawayoke, and Y. Horita, "No reference image
quality assessment for JPEG2000 based on spatial features", Signal
Process: Image Communication 23 (2008) pp.257-268.
[5] R. Venkatesh Babu, S. Suresh, and Andrew Perkis, "No-reference
JPEG-image quality assessment using GAP-RBF", Signal Processing 87
(2007) pp.1493-1503
[6] Z. Wang, H.R. Sheikh, and A.C. Bovik, "No-reference perceptual quality
assessment of JPEG compressed images", Proceedings of the ICIP,02,
vol. 1, pp. 477-480, 2002
[7] H.R. Sheikh, Z. Wang, L. Cormack and A.C. Bovik, "LIVE Image Quality
Assessment Database Release 2",
http://live.ece.utexas.edu/research/quality.
[8] P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "Perceptual blur
and ringing metrics: application to JPEG2000", Signal Process: Image
Communication 19 (2004) pp.163-172.