Halftone/contone conversion using neural networks

Win Bin Huang, Wei Chen Chang, Yen Wei Lu, Alvin W.Y. Su, Yau Hwang Kuo

研究成果: Conference article同行評審

5 引文 斯高帕斯(Scopus)


A novel neural network based method for halftoning and inverse halftoning of digital images is presented. We first start from inverse half-toning of images produced from error diffusion methods using a RBF Network plus a MLP network. The restored contone images have had good quality already. Then, a SLP neural network is used to refine the halftoning processing and the training process of the inverse half-toning network is also involved. The combined training procedure produces half-tone images and the corresponding continuous tone images at the same time. It is found that these contone images have even better PSNR performance. Furthermore, the resulted half-tone images are visually sharper and clearer, too. The proposed inverse half-toning method is also compared to the well-known LUT method.

頁(從 - 到)3547-3550
期刊Proceedings - International Conference on Image Processing, ICIP
出版狀態Published - 2004
事件2004 International Conference on Image Processing, ICIP 2004 - , Singapore
持續時間: 2004 10月 182004 10月 21

All Science Journal Classification (ASJC) codes

  • 工程 (全部)


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