An Effective Alternative Structural Similarity Index Algorithm (original) (raw)

Abstract

Real-time image quality assessment algorithms is an important, outcome research is dedicated to improving this practice. Towards this end, a design of real-time implementable full-reference image or video quality algorithms that are based on the Structural Similarity (SSIM) index and multi-scale SSIM (MS-SSIM) index preferred. The proposed algorithms merged into one single updating process. LIVE image quality database used to evaluate their improvement in form of computational complexity. Experimental results show that the proposed algorithm is an effective alternative for real-time image Structural Similarity with low area cost (time).

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

References (15)

  1. S. Chikkerur, V. Sundaram, M. Reisslein, and L. J. Karam, "Objective video quality assessment methods: A classification, review, and performance comparison. Broadcasting," IEEE Transactions on, vol. 57(2), pp. 165-182, 2011. http://dx.doi.org/10.1109/tbc.2011.2104671
  2. E. Y. Chan, W. K. Ching, M. K. Ng, and J. Z Huang, "An optimization algorithm for clustering using weighted dissimilarity measures." Pattern recognition, vol. 37(5), pp. 943-952, 2004. http://dx.doi.org/10.1016/j.patcog.2003.11.003
  3. M. Seufert, M. Slanina, S. Egger, and M. Kottkamp, "To pool or not to pool: A comparison of temporal pooling methods for HTTP adaptive video streaming," In Quality of Multimedia Experience (QoMEX), 2013 Fifth International Workshop on IEEE, pp.. 52-57, July 2013. http://dx.doi.org/10.1109/qomex.2013.6603210
  4. C. Li, and A. C. Bovik, "Content-partitioned structural similarity index for image quality assessment," Signal Processing: Image Communication, vol. 25(7), pp. 517-526, 2010. http://dx.doi.org/10.1016/j.image.2010.03.004
  5. K. Okarma, D. Frejlichowski, P. Czapiewski, P. ForczmaƄski, and R. Hofman, "Similarity estimation of textile materials based on image quality assessment methods. In Computer Vision and Graphics," Springer International Publishing, pp. 478-485, 2014.
  6. G. H. Chen, C. L. Yang, and S. L. Xie, "Gradient-based structural similarity for image quality assessment," In Image Processing, 2006 IEEE International Conference on IEEE, pp. 2929-2932, October 2006. http://dx.doi.org/10.1016/j.image.2010.03.004
  7. C. Li, and A. C. Bovik, "Three-component weighted structural similarity index," In IS&T/SPIE Electronic Imaging -International Society for Optics and Photonics, pp. 72420Q-72420Q, January 2009.
  8. D. M. Rouse, and S. S. Hemami, "Understanding and simplifying the structural similarity metric," In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on IEEE, pp. 1188-1191, October 2008. http://dx.doi.org/10.1109/icip.2008.4711973
  9. X. Huang, and S. Forchhammer, "Improved side information generation for distributed video coding," In Multimedia Signal Processing, 2008 IEEE 10th Workshop on IEEE, pp. 223-228, October 2008.
  10. E. Cohen, and Y. Yitzhaky "No-reference assessment of blur and noise impacts on image quality," Signal, image and video processing, vol. 4(3), pp. 289-302, 2010.
  11. F. Meyer, "Color image segmentation. In Image Processing and its Applications," International Conference on IET, pp. 303-306, 1992.
  12. A. P Carleer, O. Debeir, and E. Wolff, "Assessment of very high spatial resolution satellite image segmentations," Photogrammetric Engineering & Remote Sensing, vol. 71(11), pp. 1285-1294, 2005. http://dx.doi.org/10.14358/PERS.71.11.1285
  13. H.R. Sheikh, Z. Wang, L.K. Cormack, A.C. Bovik, "LIVE image quality assessment database," Release 2, [online]: Available at: http://live.ece.utexas.edu/research/quality/subjective.htm
  14. A. K. Moorthy, and A. C. Bovik, "Visual importance pooling for image quality assessment," Selected Topics in Signal Processing, IEEE Journal, vol. 3(2), pp. 193-201, 2009. http://dx.doi.org/10.1109/JSTSP.2009.2015374
  15. D. M., Rouse, and S. S. Hemami, S. S. (2008, February). Analyzing the role of visual structure in the recognition of natural image content with multi-scale SSIM. In Electronic Imaging 2008 (pp. 680615-680615). International Society for Optics and Photonics.