发明申请
- 专利标题: DIGITAL HALFTONING METHOD UTILIZING DIFFUSED WEIGHTING AND CLASS MATRIX OPTIMIZATION
- 专利标题(中): 使用扩展加权和类矩阵优化的数字化方法
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申请号: US12187546申请日: 2008-08-07
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公开(公告)号: US20100033764A1公开(公告)日: 2010-02-11
- 发明人: Jing-ming Guo , Yun-fu Liu
- 申请人: Jing-ming Guo , Yun-fu Liu
- 申请人地址: TW Taipei
- 专利权人: National Taiwan University of Science and Technolo
- 当前专利权人: National Taiwan University of Science and Technolo
- 当前专利权人地址: TW Taipei
- 主分类号: H04N1/405
- IPC分类号: H04N1/405
摘要:
The present invention discloses a digital halftoning method. The method comprises steps of: (a1) dividing an original image into non-overlapping blocks; (a2) obtaining a Least-Mean-Square trained (LMS-trained) filter by comparing at least a training image and a halftone result corresponding to the training image (a3) optimizing a class matrix with the LMS-trained filter, which involves the diffused area and the diffused weightings; and (a4) processing the non-overlapping blocks by performing a dot diffusion procedure with the optimized class matrix and the diffused weightings to generate a halftone image corresponding to the original image. A detailed class matrix optimizing method as in the above-mentioned step (a3) is also disclosed.