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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

Active Publication Date: 2013-03-06
PEKING UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

What kind of printing inaccuracy actually occurs cannot be predicted in advance, so how to evaluate the quality of the trap image, such as the position where the trap occurs, whether the color of the trap filling is perfect, etc., and the pros and cons of the trapping method are still to be determined. There is no objective evaluation method, more is judged by experience and human vision

Method used

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  • Method and system for detecting trapping image quality and trapping method effect
  • Method and system for detecting trapping image quality and trapping method effect
  • Method and system for detecting trapping image quality and trapping method effect

Examples

Experimental program
Comparison scheme
Effect test

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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Abstract

The invention discloses a method and system for detecting the trapping image quality and trapping method effect, belonging to the technical field of image detection. In the prior art, no objective methods for evaluating the trapping image quality and the trapping method effect are provided, people judge by experience and human eye vision. An image diversity degree between a trapping image and a shift image obtained by that the trapping image is shifted according to the shifting condition under a shifting model serves as an objective criterion for evaluating the trapping image and the trapping method, and the trapping image quality and the trapping method effect can be accurately detected.

Description

technical field [0001] The invention belongs to the technical field of image detection, and in particular relates to a method and system for detecting the quality of a trapping image and the effect of a trapping method. Background technique [0002] Trapping is also called trapping, also known as scaling, mainly to make up for the gap between two adjacent different colors caused by inaccurate printing overprint. When people face printed matter, they always feel that the dark color is closer to the human eye, while the light color is far away from the human eye. The dark color above remains the same. In this way, even if a small offset occurs, the overprinted ink can cover up the misregistration error without distorting the shape of the object, so as to ensure that the visual effect is not affected. Common trapping methods mainly include the following 4 kinds. [0003] (1) Single-color line overprinting method: Add light-colored lines on the edge of the color block, and se...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/956G06T7/00
Inventor 李平立张宏志袁梦尤
Owner PEKING UNIV
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