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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821601