Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location :
Waterloo, Ont.
Print_ISBN :
0-7803-4314-X
DOI :
10.1109/CCECE.1998.682710
