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Document Handling White Paper (Page 3)


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Test Results

    To test this proposal, we used a word processor to create a five color document. We printed it out on a color laser printer to good quality paper. Then we scanned it in. The resulting image had about 250,000 colors, but with image restoration, human-like segmentation, and acceptable tolerances, we were able to bring the image back to something that was pretty close to what we had on the word processor.

    The results are shown below in *.png pictures. We have provided some other common techniques as a comparison.

File Sizes Five Color Tests
File Sizes (in KBytes)
File
Name
*. BMP *. PNG
Pre
*.PNG
Post
*. PNZ
T2
*. JPG
High
*.JPG
Med
*.JPG
Low
*. TIF
G4
*. LDF *. DJVU
e.* 5.046 2.035 0.274 0.162 2.531 2.785 2.668 0.332 1.114 0.207
r.* 56.430 41.969 0.832 0.421 23.266 10.403 8.768 6.234 3.971 0.437
p.* 207.23 113.76 2.21 1.22 63.09 18.54 14.42 12.17 5.75 1.43
m.* 1,985 1,214 10 5 615 137 96 48 30 7
Click on file name in the "File Name" column to see the images

File Sizes Document Handling Tests
File Sizes (in KBytes)
File
Name
*. BMP *. PNG
Pre
*.PNG
Post
*. PNZ
T2
*. JPG
High
*.JPG
Med
*.JPG
Low
*. TIF
G4
*. LDF *. DJVU
v.* 5,607 730.2 57.4 36.9 792.6 181.0 138.7 18.7 23.9 4.3
Click on file name in the "File Name" column to see the images

File Sizes Photographic Tests
File Sizes (in KBytes)
File
Name
*. BMP *. PNG
Pre
*.PNG
Post
*. PNZ
T2
*. JPG
High
*.JPG
Med
*.JPG
Low
*. TIF
G4
*. LDF *. DJVU
ros.* 101.97 44.62 35.87 32.53 20.73 8.86 6.50 4.83 66.88 2.62
Click on file name in the "File Name" column to see the images


Pre: *.PNG without (before) Pac-n-Zoom® segmentation

Post: *.PNG with (after) Pac-n-Zoom segmentation

High JPEG: JPEG with high quality and low compression

Med JPEG: JPEG with medium quality and medium compression

Low JPEG: JPEG with low quality and high compression

G4: TIFF file with bitonal group 4 compression

PNZ T2: This is a Pac-n-Zoom file type 2 (also known as the blob compressor). The blob compressor was run after Pac-n-Zoom segmentation.



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