DocumentCode
1593213
Title
Digipaper: a versatile color document image representation
Author
Huttenlocher, Daniel ; Felzenszwalb, Pedro ; Rucklidge, William
Author_Institution
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
219
Abstract
We describe a segmentation method and associated file format for storing images of color documents. We separate each page of the document into three layers, containing the background (usually one or more photographic images), the text, and the color of the text. Each of these layers has different properties, making it desirable to use different compression methods to represent the three layers. The background layers are compressed using any method designed for photographic images, the text layers are compressed using a token-based representation, and the text color layers are compressed by augmenting the representation used for the text layers. We also describe an algorithm for segmenting images into these three layers. This representation and algorithm can produce very highly-compressed document files that nonetheless retain excellent image quality
Keywords
image representation; image segmentation; Digipaper; associated file format; background layers; image quality; image segmentation; photographic images; token-based representation; versatile color document image representation; Computer science; Design methodology; Discrete cosine transforms; Image coding; Image quality; Image representation; Image segmentation; Pixel; Quantization; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.821601
Filename
821601
Link To Document