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space determination Color page printing ink jet printing paper quality space determination
- Apr 27, 2018 -

Color page printing The high-quality inkjet printing market is gradually expanding. The amount of inkjet printers and inkjet printing paper is also increasing. Therefore, it is very important to analyze and continuously improve the quality of paper printing.

Quality factors:

The quality factors related to the quality of inkjet printing are mainly ink spots, sharpness, gray balance, gloss, density, and color gamut. 9 experiments were used to coat the paper samples and 3 desktop inkjet printers were used for printing.

The quality factors described above can be measured by the following methods: Moire is measured on solid black and green patches; the sharpness of an ink jet print can be obtained by measuring black lines on the yellow background and black lines on non-graphical portions. .

The specific method is to measure the above printing area twice and obtain roughness and edge ambiguity. Sharpness can be reflected in monochrome roughness, monochrome edge blur, color roughness, and color edge ambiguity. Gray balance can be defined by the chroma value of the 40% CMYK-gray print area. Earth black and green gloss values were determined at 3 different angles (20°, 60°, and 75°). Measured in-situ CMYK four-color density values. The color gamut is obtained by measuring the color scale, expressing the color rendering range of the paper surface, and calculating the excellent domain area.

Visual assessment:

The visual commentary is determined by a specific group of observers to determine the overall visual quality. Each printer prints three different types of pictures, and the pairing comparison method (pair comparison method, also known as comparison method) is to comment everything. Pictured together, pairwise comparison) Comments.

The pattern of the survey has a high print quality, and therefore, the value of the disturbing elements measured by the skill approach is low. Analyze the quality factors of the monochromatic roughness, the colorful roughness, the green mottle and the black mottle, and conclude that the vision can recognize the minimum value of the mottle. The ultimate approach to using Engeldrum, a tool for imaging system development, is to affirm the threshold (ie, the lowest impact energy that can be perceived) to evaluate print quality.

The association between the different measurements was analysed using the number of connections (used to indicate the degree of contact between the two groups of samples). In addition, the connection between skill measurement and visual commentary was analyzed by three methods, namely connection number, multiple regression and main weight analysis.

Important parameters:

Of all the quality factors discussed in this paper, the color gamut is the most important parameter. The relevance of the gamut depicting the printing effect and the visual comment is relatively large (0.67 is less than R is less than 0.94). When the color gamut is acted on by one or two quality factors, although the relevance of the printing effect and the visual commentary is certainly improved, other factors are equally important.

The correlation between the monochrome roughness and the colorful roughness and the visual comment is good, and the monochromatic roughness and the colorful roughness value have a high correlation, so one element between them can be used for comment quality.

Colorful roughness and gamut correlation are higher. Because the main application of high-quality inkjet printing is picture imitation, measurement of bleeding phenomena such as colorful roughness is more suitable as a quality factor.

Printing mottle is a common and difficult to handle quality defect. There is no good correlation between roughness and mottle, so the mottle is the third independent quality factor. People rarely see prints with black blotches, and most prints have green spots that can be observed. Therefore, green ink spots have a greater effect on the quality of high-quality inkjet printing than black spots.


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