YI Yaohua, SU Hai. Adaptive Green Noise Halftoning Algorithm with Optimal Hysteresis Constant[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1104-1107.
Citation: YI Yaohua, SU Hai. Adaptive Green Noise Halftoning Algorithm with Optimal Hysteresis Constant[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1104-1107.

Adaptive Green Noise Halftoning Algorithm with Optimal Hysteresis Constant

  • Adaptive green noise halftoning algorithm with the optimal hysteresis constant was proposed.A random number was used to select one of the pre-designed different error diffusion filters and alter the hysteresis constant based on the image gray level.Regular strips and nonuniform visual effect which are created because of point aggregation in a general green noise algorithm are effectively eliminated.Experiment results show that the halftone image produced by this algorithm can maintain the amplitude characteristic and guarantee visual uniformity.
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