Title :
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
fDate :
10/1/1999 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
