Statistically optimized JPEG for image classes: a case study on financial document image compression

Author

El-Sakka, Mahmoud R. ; Hassanein, Khaled S. ; Kamel, Mohamed S.

Author_Institution

Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada

Volume

1

fYear

1998

fDate

24-28 May 1998

Firstpage

173

Abstract

This paper describes a novel method of optimizing the JPEG quantization table (Q-table) for classes of images based on the statistical nature of their DCT coefficients. This scheme is used to come up with an optimized JPEG Q-table for the class of cheque images. The superiority of the optimized Q-table is then established at high compression rates from a visual image quality point of view, as well as from a cheque amount recognition accuracy point of view

Keywords

code standards; data compression; discrete cosine transforms; document image processing; financial data processing; image coding; image recognition; statistical analysis; telecommunication standards; transform coding; DCT coefficients; cheque amount recognition accuracy; financial document image compression; high compression rates; image classes; quantization table; statistically optimized JPEG; visual image quality; Computer aided software engineering; Design engineering; Discrete cosine transforms; Image coding; Image quality; Image recognition; Layout; Quantization; Statistical distributions; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1998. IEEE Canadian Conference on

Conference_Location

Waterloo, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-4314-X

Type

conf

DOI

10.1109/CCECE.1998.682710

Filename

682710