By Akira Miura

This booklet is for these studying the japanese language it truly is an Intermediate point booklet.

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The 95 % confidence interval of the subjective score for the contaminated images produced by the five JND models is shown in Fig. 4. The noise-con0 taminated images that are most similar to the original images are produced by tWN ; and the contaminated images having the worst subjective score are produced by tCL : The three DCT subband-based JND models outperform the two pixel-based JND models, and Zhang et al. [ZLX08] attributed the inferior performance of the pixelbased JND models to the omission of CSF.

12. The scatterplot in Fig. 12a clearly illustrates that Watson’s PIC is the least correlated with subjective score as well as having the widest spread of points. Comparably, Wei’s PIC exhibits the highest correlation with subjective score as well as having the smallest spread of points. The 95 % confidence interval of the Pearson correlation and Spearman rankorder correlation of the three PICs is shown in Fig. 13. As expected, Watson’s PIC is found to have the largest confidence interval among the 3 PICs.

In such test-images, an accurate JND model should not detect both horizontal gratings at 4 and 20 cpd. The spatial JND profiles of TI-10 with horizontal gratings at 4 and 20 cpd are shown in Fig. 9. The spatial JND profile of TI-10 from each JND model with the horizontal gratings at 4 and 20 cpd are shown on the left and right, respectively. 2 Noise-Shaping Performance of JND Model 53 Fig. 7 Spatial JND profiles of TI-6 with grating at 4 cpd. Image of TI-6 with grating at 4 cpd is shown in (a). Spatial JND profiles obtained using Chou’s, Yang’s, Watson’s, Wei’s, and Zhang’s methods are shown in (b–e), respectively spatial JND profiles from the subband-based JND models do not reveal the horizontal gratings in TI-10.

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