Title :
Enhanced JPEG compression of documents
Author :
Prakash, Ravi ; Mitchell, Joan L. ; Stepneski, David A.
Author_Institution :
IBM Payment Solutions, Charlotte, NC, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
The JPEG standard was designed for compression of photographic digital images, but it also works well on digitized documents with only a limited number of shades of gray. For documents in which compression and legibility are more important than preserving all of the intermediate values, preprocessing the images to reduce their dynamic range can enhance JPEG compression, as it selectively discards some noise. If modified quantization tables are substituted for the encoding quantization tables in the JPEG compressed data stream, an unchanged JPEG decoder can restore the dynamic range and increase image contrast. Graphs of the compressed size in bytes vs. dynamic range after the application of different dynamic-range-reduction techniques are given for both Huffman coding and arithmetic coding. Examples of the reconstructed front and back sides of a check with normal processing and enhanced compression are shown
Keywords :
Huffman codes; arithmetic codes; data compression; document image processing; image coding; image reconstruction; Huffman coding; arithmetic coding; digitized documents; dynamic range reduction; encoding quantization tables; enhanced JPEG compression; Decoding; Digital images; Dynamic range; Huffman coding; Image coding; Image restoration; Noise reduction; Quantization; Streaming media; Transform coding;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958159