Print Image Clarity Evaluation Device Using Standard Pattern Projection
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Solution Overview
Problem
Existing evaluation methods for print image glossiness are insensitive to image clarity and cannot be automated, leading to poor sensitivity and complex evaluation processes.
Innovation Solution
An evaluation device and method that project an object onto a print image surface, using an illuminator and imager to quantify image clarity based on brightness distribution parameters, allowing for automatic detection and accurate evaluation of image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If glossiness measurement is used to evaluate print image quality, then the measurement is simple and objective, but the sensitivity to image clarity is poor and cannot reflect user visual impression
Solution Approach 1:
The patent introduces a standard pattern as an intermediary object placed on the print image surface. This standard pattern serves as a mediator between the light source and the imaging device, enabling the detection of image clarity through the reflected image of the standard pattern. The standard pattern's known geometric features allow for quantitative analysis of surface properties while maintaining automation and objectivity in the evaluation process.
Solution Approach 2:
The patent replaces manual visual evaluation with an automated optical measurement system. Instead of relying on human observers to assess image clarity subjectively, the system uses an imaging device to capture the reflected image of the standard pattern and a processing device to automatically calculate image clarity parameters. This substitution eliminates human subjectivity and enables objective, repeatable measurements while improving detection sensitivity.
2Extent of automation
If a standard image comparison method is used to evaluate glossy texture, then physical quantity measurement is objective, but the evaluation process cannot be automated and becomes complicated
Solution Approach 1:
The patent performs preliminary action by pre-defining the standard pattern with known geometric characteristics before the actual measurement. The standard pattern's properties are established in advance, eliminating the need for real-time standard image selection or confirmation during the evaluation process. This preliminary setup enables fully automated measurement and calculation of image clarity parameters without requiring manual intervention or complex standard image management.
Solution Approach 2:
The patent uses a physical standard pattern that creates a reflected image copy on the print image surface. This reflected image serves as a measurable copy that contains information about the surface properties. By analyzing the distortions and characteristics of this reflected image copy, the system can automatically determine image clarity without needing to compare against stored standard images or perform complex image matching algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise and automated evaluation of image clarity, simplifying the evaluation process and improving sensitivity compared to traditional methods.
Implementation Method 1
an illuminator that allows the object to be projected onto the measurement surface
Data Source
AI summary
An evaluation device evaluates an image clarity of a print image. The evaluation device includes: an object that is projected onto a measurement surface of a recording medium; an illuminator that makes the object projected onto the measurement surface; an imager that images the measurement surface on which the object has been projected to obtain image data; and a hardware processor that, based on a distribution of parameters related to a brightness of the image data, quantifies a degree of the image clarity into a numerical value and defines the numerical value as an evaluation value of the image clarity.