Method and system for detecting trapping image quality and trapping method effect
A detection method and image quality technology, applied in image analysis, image data processing, measurement devices, etc., to achieve the effect of accurate detection
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Embodiment 1
[0057] figure 1 A schematic structural diagram of the trapping image quality detection system in this embodiment is shown. The system includes a determining device 11 , an establishing device 12 connected to the determining device 11 , an offset device 13 connected to the establishing device 12 , a computing device 14 connected to the offset device 13 , and a judging device 15 connected to the computing device 14 .
[0058]The determination means 11 is used to determine the trap image to be detected. The establishment device 12 is used to establish an offset model, and select an offset situation from the offset model; the offset model refers to a probability model of image offset, including a plurality of offset situations. The offset device 13 is used to offset the trapping image to be detected according to the offset situation to obtain the offset image. The calculating means 14 is used for calculating the degree of image difference between the original image corresponding...
Embodiment 2
[0061] figure 2 A flow chart of the trap image quality detection method in this embodiment is shown. The method includes the following steps:
[0062] (1) Determine the trap image to be detected.
[0063] The format of the trap image is CMYK mode, C represents cyan, M represents magenta, Y represents yellow, and K represents black. If the trap image is not in CMYK mode, convert it to CMYK mode first.
[0064] by Figure 5 The trapping image shown is an example whose original image is Figure 4 shown. The original image consists of pixels in 10 rows and 10 columns, and contains two colors: the left area C=100, M=0; the right area M=100, C=0. Set the color value of the CM color palette in each pixel in the original image to c 0 and m 0 , then the color value of point A in the original image is A(c 0 =100m 0 =0), the color value of point B is B(c 0 = 0 m 0 =100). Figure 5 The image shown is for Figure 4 In the original image shown, the trapping process is perform...
Embodiment 3
[0098] image 3 A structural block diagram of the trapping method effect detection system in this embodiment is shown. This system comprises trapping device 31, establishing device 32 connected with trapping device 31, offset device 33 connected with establishing device 32, computing device 34 connected with offset device 33, and judging device connected with computing device 34 35.
[0099] The trapping device 31 is used to select N trapping objects, use the trapping method to be detected to perform trapping processing on the N trapping objects, and obtain N trapping images; the N is a positive number not less than 2 integer. The establishment device 32 is used to establish an offset model, and select an offset situation from the offset model; the offset model refers to a probability model of image offset, including a plurality of offset situations. The offset device 33 is configured to respectively offset the N trap images according to the offset conditions to obtain N of...
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