2011
DOI: 10.1007/s10043-011-0014-2
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Improved measurement of dynamic modulation transfer functions on display using pursuit camera method based on wavelet-denoising method

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Cited by 2 publications
(2 citation statements)
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“…For approaching the perception of human vision (removing the sine wave), the noise‐assisted data analysis introduces white noise into the wavelet denoise method to flatten the upper portion of the ESF, as shown in Fig. (d) . Next, the maximum and minimum is determined by the upper and lower portions of the average of ESF, and ESF is normalized, as shown in Fig.…”
Section: Edge Spread Function Analysis and Spatial Frequency Responsementioning
confidence: 99%
“…For approaching the perception of human vision (removing the sine wave), the noise‐assisted data analysis introduces white noise into the wavelet denoise method to flatten the upper portion of the ESF, as shown in Fig. (d) . Next, the maximum and minimum is determined by the upper and lower portions of the average of ESF, and ESF is normalized, as shown in Fig.…”
Section: Edge Spread Function Analysis and Spatial Frequency Responsementioning
confidence: 99%
“…Most of them have been proved to be effective in removing the unwanted components. For example, Hsu et al succeeded in removing the aliasing on the original step-edge response curve (SRC) caused by the binning of Moire patterns [2]. However, the linear filtering methods are not very effective when the signals contain sharp edges and impulses of short duration [3].…”
Section: Introductionmentioning
confidence: 99%