A new class of B/W halftoning algorithms |
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Authors: | Zakhor A. Lin S. Eskafi F. |
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Affiliation: | Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA. |
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Abstract: | A new class of dithering algorithms for black and white (B/W) images is presented. The basic idea behind the technique is to divide the image into small blocks and minimize the distortion between the original continuous-tone image and its low-pass-filtered halftone. This corresponds to a quadratic programming problem with linear constraints, which is solved via standard optimization techniques. Examples of B/W halftone images obtained by this technique are compared to halftones obtained via existing dithering algorithms. |
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