Inverse halftoning for monochrome pictures

Li Ming Chen, Hsueh-Ming Hang

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

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.

Original languageEnglish
Article number413510
Pages (from-to)1022-1026
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - 1 Jan 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: 13 Nov 199416 Nov 1994

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