Printing quality evaluation method and system

Abstract

The invention discloses a method and system for printing quality evaluation, which is used to evaluate the printing image. The method comprises the steps of: calculating the matrix of error between afirst digital image and a second digital image; calculating the matrix of relative sensitivity function; producing the optimized matrix of relative sensitivity function; obtaining the matrix of perceptive error according to the optimized matrix of relative sensitivity function and the matrix of error; evaluating the printing image according to the matrix of perceptive error; first digital image being the digital image for collecting the print image collected by the collection device of standard image, first digital image being the reference file of original digital file of print image or firstdigital image. The method and system for printing quality evaluation in the invention, through matching and aligning, solve the problems in printing and scanning processes, such as the geometric distortion, noise and so on, at the same time, by leading into human vision mode, the print quality assessment is more coincident with human perception property, accordingly the effective print quality assessment can be carried out simply and rapidly.

Description

technical field [0001] The invention relates to a print quality evaluation system and evaluation method, in particular to a method and system for evaluating image quality of printed documents after various processes. Background technique [0002] Perceptibility is an important index used to evaluate the quality of printing, scanning process and other printed images after image processing. However, this evaluation and measurement is only possible when perceptibility is clearly defined. In recent years, for various image-processed digital images, such as compressed images / videos and embedded watermarked images / videos, researchers have proposed various methods to evaluate image quality. [0003] In order to be able to effectively evaluate the fidelity of printed documents / images, the evaluation algorithm must be robust to the following concentration cases: [0004] Noise and distortion introduced by the printing and scanning process; [0005] Various affine transformation di...

AI Technical Summary

Problems solved by technology

[0012] US Patent No. 6,690,839 (February 10, 2004) uses the HVS model for the evaluation of video image quality, but this method does not consider factors such as local brightness, local contrast and error accumulation

[0013] The above-mentioned technical solutions can only be used to evaluate images in digital mode, and these methods can only be used in situations such as computer monitors and TVs, and cannot be applied to the quality evaluation of printed documents / images

[0014] But these methods are only limited to the quality assessment of images in digital format, they are not suitable for evaluating the quality assessment of printed documents / images

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