Browse > Article
http://dx.doi.org/10.7471/ikeee.2012.16.3.182

Histogram of Gradient based Efficient Image Quality Assessment  

No, Se-Yong (Department of Electronics and Computer Engineering, Hanyang University, LG Uplus)
Ahn, Sang-Woo (Department of Nanoscale Semiconductor Engineering, Hanyang University)
Chong, Jong-Wha (Department of Nanoscale Semiconductor Engineering, Hanyang University)
Publication Information
Journal of IKEEE / v.16, no.3, 2012 , pp. 182-188 More about this Journal
Abstract
Here we propose an image quality assessment (IQA) based on histogram of oriented gradients (HOG). This method makes use of the characteristic that the histogram of gradient image describes the state of input image. In the proposed method, the image quality is derived by the slope of the HOG obtained from the target image. The line representing the HOG is measured by a random sample consensus (RANSAC) on the HOG. Simulation results based on the LIVE image quality assessment database suggest that the proposed method aligns better with how the human visual system perceives image quality than several state-of-the-art IQAs.
Keywords
Image Quality Assessment; Human Visual System; Histogram of Gradient; RANSAC;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis and W. T. Freeman, "Removing Camera Shake from a Single Photograph," ACM Transaction on Graphics, Vol. 25, No. 3, pp.787-794, 2006   DOI   ScienceOn
2 M. Fischler and R. Bolles, "Random Sample Conesnsus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography," Communications of the ACM, Vol. 24, No. 6, pp.381-395, 1981   DOI   ScienceOn
3 K. Seshadrinathan, R. Soundararajan, A. C. Bovik and L. K. Cormack, "Study of Subjective and Objective Quality Assessment of Video," IEEE Transactions on Image Processing, Vol. 19, No. 6, pp.1427-1441, 2010   DOI
4 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
5 D. M. Chandler and S. S. Hemami, "VSNR: A Wavelet-Based Visual Signal-toNoise Ratio for Natural Images," IEEE Transactions on Image Processing, Vol 16, No. 9, pp.2284-2298, 2007   DOI
6 H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality," IEEE Transactions on Image Processing, Vol. 15, No. 2, pp.430-444, 2006   DOI
7 A. K. Moorthy and A. C. Bovik, "A Two-Step Framework for Constructing Blind Image Quality Indices," IEEE Signal Processing Letters, Vol. 17, No. 5, pp.513-516, 2010   DOI
8 A. K. Moorthy and A. C. Bovik, "Blind Image Quality Assessment: From Natural scene Statistics to Perceptual Quality," IEEE Transaction on Image Processing, Vol. 20, No. 12, pp.3350-3364, 2011   DOI
9 Z. Wang and A. C. Bovik, Modern Image Quality Assessment, New York Morgan and Claypool Publishing Company, 2006
10 Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simonecelli, "Image Quality Assessment: From Error Visibility to Structural Similarity," IEEE Transactions on Image Processing, Vol. 13, No. 4, pp.600-612, 2004   DOI   ScienceOn