Subband coding of binary textual images for document retrieval

Ömer Nezih Gerek, A. Enis Çetin, Ahmed H. Tewfik

Abstract: Efficient compression of binary textual images is very important for applications such as document archiving and retrieval, digital libraries and facsimile. The basic property of a textual image is the repetitions of small character images and curves inside the document. Exploiting the redundancy of these repetitions is the key step in most of the coding algorithms. We use a similar compression method in the subband domain. Four different subband decomposition schemes are described and their performance on a textual image compression algorithm is examined. Experimentally, it is found that the described methods accomplish high compression ratios and they are suitable for fast database access and keyword search.

External IDs:dblp:conf/icip/GerekCT96