Invention Grant
US08649059B2 Mutual optimization system for class matrix and diffusion weighting used in halftone image processing technique
有权
用于半色调图像处理技术的类矩阵和扩散权重的相互优化系统
- Patent Title: Mutual optimization system for class matrix and diffusion weighting used in halftone image processing technique
- Patent Title (中): 用于半色调图像处理技术的类矩阵和扩散权重的相互优化系统
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Application No.: US13095835Application Date: 2011-04-27
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Publication No.: US08649059B2Publication Date: 2014-02-11
- Inventor: Jing-Ming Guo , Chia-Hao Chang
- Applicant: Jing-Ming Guo , Chia-Hao Chang
- Applicant Address: TW Taipei
- Assignee: National Taiwan University of Science and Technology
- Current Assignee: National Taiwan University of Science and Technology
- Current Assignee Address: TW Taipei
- Agency: Jiang Chyun IP Office
- Priority: TW99120273A 20100622
- Main IPC: H04N1/405
- IPC: H04N1/405

Abstract:
A mutual optimization method for class matrix and diffusion weighting used in a halftone image processing technique and a mutual optimization system thereof are provided. In the method, a mutual optimization of a plurality of diffusion weightings and a class matrix used in a dot diffusion process is performed based on a concept of simulated annealing in order to avoid converging to local solution, so as to ensure an image quality of a halftone image generated by the dot diffusion process. Besides, since the mutual optimization method is for a hexagonal class matrix, a block effect appearing in the halftone image can be significantly reduced.
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