Inverse halftoning for monochrome pictures

Li Ming Chen, Hsueh-Ming Hang

研究成果: Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

A class of inverse halftoning methods together with post-processing is proposed in this paper. In order to optimize the inverse operation of halftoning, we adopt the inverse modeling concept to find the least-squares solution of this problem. And then, the knowledge of image characteristics helps us in designing improved algorithms that produce the most promising pictures to our eyes. They are conceptually rather different from the traditional inverse halftoning methods that use simple low-pass filters. Furthermore, we develop a general space-varying sliding-window filter (SV-SWF) scheme. The goal is to be able to handle various types of pictures using the same basic inverse halftoning structure together with spatially adaptive parameters. This universal inverse halftoning operator is achieved by using an adequate classification scheme to separate image data into different groups, each corresponding to a set of pre-trained parameters. Due to the additional information in the inputs and the outputs utilized in our processing, better reconstructed images are obtained.

原文English
文章編號413510
頁(從 - 到)1022-1026
頁數5
期刊Proceedings - International Conference on Image Processing, ICIP
2
DOIs
出版狀態Published - 13 十一月 1994
事件Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
持續時間: 13 十一月 199416 十一月 1994

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