ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Wavelet based halftone segmentation and descreening filter design

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The advent of electronic publication creates strong interest in coverting existing printed documents into electronic formats. During this process, image reproduction problems can occur due to the formation of Moiré patterns in the screened halftone areas. Therefore, optimal quality of a scanned document is achieved if halftone regions are first identified and processed separately. In this paper, we propose a complete algorithm to achieve this objective. A wavelet based halftone segmentation algorithm is first designed to locate possible halftone regions using a decision function. We then introduce a suboptimal FIR descreening filter to efficiently handle various screening frequencies and angles. Experimental results are offered to illustrate the performance of our algorithm.