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參數(shù)資料
| 型號： | M66335FP |
| 廠商： | Mitsubishi Electric Corporation |
| 英文描述： | FACSIMILE IMAGE DATA PROCESSOR |
| 中文描述： | 傳真寄發(fā)圖像數(shù)據(jù)處理器 |
| 文件頁數(shù)： | 19/57頁 |
| 文件大?。?/td> | 656K |
| 代理商： | M66335FP |
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MITSUBISHI
DIGITAL ASSP
M66335FP
FACSIMILE IMAGE DATA PROCESSOR
`
Image zone separation
To make data conversion fit for each image zone, a black and white
image is separated into the zones to be converted to binary and the
gradation zones. The binary zone is processed through simple con-
version to binary and the gradation zone through the error diffusion.
: register 08 to 0E
In the black and white image, each window of the gradation zone (photo) does not have a large difference of luminance in it.
With this characteristic of the gradation zone, it is distinguished from the conversion-into-binary zone through the following method.
Difference
Minimum
Maximum
Determining inequality 1: L
max
– L
min
>A (because the zone to be converted to binary has
a large difference in luminance in it.): register 09 Difference (SEPA_A)
Determining inequality 2: L
min
>B (for the wholly white area): register 0A Minimum (SEPA_B)
Determining inequality 3: L
max
<C (for the wholly black area): register 0B Maximum (SEPA_C)
If the window satisfies determination inequalities 1, 2 or 3, simple conversion to binary is applied.
If the window does not satisfy any of determination inequalities 1, 2 and 3, change to pseudo-halftone is applied.
White level = 63
Input data
Black level = 0
A
L
max
L
max
L
min
L
max
–L
min
L
min
B
C
L
max
: maximum illumination in window
L
min
: minimum illumination in window
Fig. 15 Image zone separation
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