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In this paper, we present a framework for the quantitative evaluation of the temporal artifacts in medium frame rate binary halftone videos produced from grayscale continuous-tone videos.
For example, for medium frame rate (15 to 30 frames per second) binary halftone videos, flicker between successive halftone frames will correspond to temporal frequencies at which the human visual system (HVS) is sensitive [8].
The normalised dwell time was longest for the vertical presentation with medium frame rate and shortest for the horizontal presentation at the same frame rate.
For instance, if the estimate for the medium frame rate in horizontal presentation mode in the analysis of time were 1.5, this would mean that this mode takes 50%% more time than the fast vertical presentation mode.
The total analysis time for horizontal FS (median time, 25 s) was statistically significantly shorter than vertical FS (median time, 30 s), though not statistically significantly different from the horizontal fast and medium frame rates and vertical medium frame rate as indicated by their overlapping CI95.
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If this modification results in improvement of perceived flicker at medium frame rates, then the proposed framework is valid.
We quantify the visibility of these two artifacts when the video halftone is displayed at medium frame rates (15 to 30 frames per second).
If halftone pixels toggle values between halftone frames within a spatial area that does not change much between continuous-tone frames, flicker might be observed at medium frame rates.
Most masses were found at fast frame rates, whereas microcalcification clusters in general were better discerned at medium frame rates.
In medium frame-rate binary halftone videos, the perception of dirty-window-effect depends primarily on both the continuous-tone and the corresponding halftone videos.
In this section, we propose a framework that can be utilized to evaluate temporal artifacts in medium frame-rate binary video halftones.
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