Abstract
Display of a video having a higher number of bits per pixel than that available on the display device requires quantization prior to display. Video halftoning performs this quantization so as to reduce visibility of certain artifacts. In many cases, visibility of one set of artifacts is decreased at the expense of increasing the visibility of another set. In this paper, we focus on two key temporal artifacts, flicker and dirty-window-effect, in binary video halftones. We quantify the visibility of these two artifacts when the video halftone is displayed at medium frame rates (15 to 30 frames per second). We propose new video halftoning methods to reduce visibility of these artifacts. The proposed contributions are (1) an enhanced measure of perceived flicker, (2) a new measure of perceived dirty-window-effect, (3) a new video halftoning method to reduce flicker, and (4) a new video halftoning method to reduce dirty-window-effect.
Highlights
Bit-depth reduction must be performed when the number of bits/pixel of the original video data is higher than the bit-depth available on the display device
We present a framework for the quantitative evaluation of the temporal artifacts in medium frame rate binary halftone videos produced from grayscale continuoustone videos
It is possible that each of the corresponding binary halftone frame is perceptually similar to its continuous-tone version, when viewed in a sequence the two successive halftone frames toggle their pixel values within the same spatial region
Summary
Bit-depth reduction must be performed when the number of bits/pixel (bit-depth) of the original video data is higher than the bit-depth available on the display device. In the case of binary halftone videos produced from grayscale continuous-tone videos, there are two key temporal artifacts These temporal artifacts are flicker and dirty-window-effect (DWE). The DWE refers to the temporal artifact that gives a human viewer the perception of viewing objects, in the halftone video, through a “dirty” transparent medium, such as a window. We present a framework for the quantitative evaluation of the temporal artifacts in medium frame rate binary halftone videos produced from grayscale continuoustone videos.
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