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Issue No.03 - July-September (2010 vol.17)
pp: 54-61
Haoyuan Dong , Shanghai Jiaotong University
Zhikai Wu , Shanghai Jiaotong University
Wang Ci , Shanghai Jiaotong University
ABSTRACT
<p>A method to estimate the peak signal-to-noise ratio of an image performs more accurately and has a smaller estimation bias and variance compared to the existing methods.</p>
INDEX TERMS
example-based, Laplacian distribution, parameter estimation, peak signal-to-noise ratio, PSNR.
CITATION
Haoyuan Dong, Zhikai Wu, Wang Ci, "Example-Based Quality Estimation for Compressed Images", IEEE MultiMedia, vol.17, no. 3, pp. 54-61, July-September 2010, doi:10.1109/MMUL.2009.77
REFERENCES
1. N.P. Galatsanos and A.K. Katsaggelos, "Methods for Choosing the Regularization Parameter and Estimating the Noise Variance in Image Restoration and their Relation," IEEE Trans. Image Processing, vol. 1, no. 3, 1992, pp. 322-336.
2. E.Y. Lam and J.W. Goodman, "A Mathematical Analysis of the DCT Coefficient Distributions for Images," IEEE Trans. Image Processing, vol. 9, no. 10, 2000.
3. T. Brandão and T.R.M.P. Queluz, "No-Reference Image Quality Assessment based on DCT Domain Statistics," Signal Processing, vol. 88, 2008, pp. 822-833.
4. A. Ichigaya et al., "A Method of Estimating Coding PSNR Using Quantized DCT Coefficients," IEEE Trans. Circuits Systems Video Technogy, vol. 16, no. 2, 2006, pp. 251-259.
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