Subband domain coding of binary textual images for document archiving

Author

Gerek, Ömer N. ; Çetin, A. Enis ; Tewfik, Ahmed H. ; Atalay, Volkan

Author_Institution

Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

8

Issue

10

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

1438

Lastpage

1446

Abstract

In this work, a subband domain textual image compression method is developed. The document image is first decomposed into subimages using binary subband decompositions. Next, the character locations in the subbands and the symbol library consisting of the character images are encoded. The method is suitable for keyword search in the compressed data. It is observed that very high compression ratios are obtained with this method. Simulation studies are presented

Keywords

data compression; document image processing; image coding; image texture; information retrieval systems; binary subband decompositions; binary textual images; character images; character locations; compressed data; document archiving; document image; high compression ratios; image compression method; keyword search; simulation studies; subband domain coding; subimages; symbol library; Code standards; Image coding; Image processing; Lagrangian functions; Libraries; PSNR; Quantization; Signal processing algorithms; Transform coding; Video compression;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.791969

Filename

791969