Multimedia and Expo, 2007 IEEE International Conference On 2007
DOI: 10.1109/icme.2007.4285100
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Halftone Visual Cryptography Embedding a Natural Grayscale Image Based on Error Diffusion Technique

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Cited by 18 publications
(11 citation statements)
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“…We can visually confirm that the image quality is almost the same as [9] but sometimes visual artifacts appear that are derived from a error diffusion halftoning technique [12]. If there is a demand for users to create images again and again using dialog-based software, the halftoning method [11] is recommended due to the fast processing, but if the users notice any artifact, the halftonning method [9] may be more appropriate. Processing time increases in proportion to the number of image pixels.…”
Section: Resultsmentioning
confidence: 76%
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“…We can visually confirm that the image quality is almost the same as [9] but sometimes visual artifacts appear that are derived from a error diffusion halftoning technique [12]. If there is a demand for users to create images again and again using dialog-based software, the halftoning method [11] is recommended due to the fast processing, but if the users notice any artifact, the halftonning method [9] may be more appropriate. Processing time increases in proportion to the number of image pixels.…”
Section: Resultsmentioning
confidence: 76%
“…If we use the fast halftoning method [11], the entire processing time is less than 1 second. The examples of output halftone images generated by method [11] are shown in Figure 11. We can visually confirm that the image quality is almost the same as [9] but sometimes visual artifacts appear that are derived from a error diffusion halftoning technique [12].…”
Section: Resultsmentioning
confidence: 99%
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