High quality scanned book compression using pattern matching

This paper proposes a hybrid approximate pattern matching/ transform-based compression engine. The idea is to use regular video interframe prediction as a pattern matching algorithm that can be applied to document coding. We show that this interpretation may generate residual data that can be efficiently compressed by a transform-based encoder. The novelty of this approach is demonstrated by using H.264/AVC, the newest video compression standard, as a high quality book compressor. The proposed method uses segments of the originally independent scanned pages of a book to create a video sequence, which is encoded through regular H.264/AVC. Results show that the proposed method outperforms AVC-I (H.264/AVC operating in pure intra mode) and JPEG2000 by up to 4 dB and 7 dB, respectively. Superior subjective quality is also achieved.

• Type: Journal
• Year: 2010
• Where: ICIP
• Authors: Alexandre Zaghetto, Ricardo L. de Queiroz
• Keywords: Hybrid Approximate Pattern, ICIP 2010, Image Processing, Regular Video Interframe, Transform-based Compression Engine