Moiré Occurrence Prediction for High-Quality Printing
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Solution Overview
Problem
Existing methods for removing moiré in images often impair image texture and sharpness by processing regions where no moiré occurs, leading to increased workload and print quality deterioration.
Innovation Solution
A moiré occurrence prediction device and method that identifies regions prone to moiré occurrence and applies suppression only to those areas, using frequency analysis and periodic structure determination to predict and mitigate moiré occurrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If moiré removal processing is performed on all regions using smoothing filters, then moiré suppression is achieved, but image texture and sharpness are impaired
Solution Approach 1:
The patent applies different processing treatments to different regions of the image based on moiré risk assessment. High-risk regions undergo moiré removal processing while low-risk regions maintain original quality,实现ing localized quality control that preserves overall image sharpness and texture while suppressing moiré where necessary
Solution Approach 2:
The image is divided into multiple regions with different moiré occurrence risks. By segmenting the processing target into high-risk and low-risk areas, the system applies moiré removal only where needed, avoiding unnecessary processing of regions that would lose quality
2Object-affected harmful factors
If moiré removal processing is applied to all image regions, then moiré suppression is achieved, but processing load increases
Solution Approach 1:
Instead of applying moiré removal processing to the entire image, the system performs partial processing only on regions identified as high-risk for moiré occurrence. This reduces the amount of computation required while still achieving effective moiré suppression where it matters most
3Object-affected harmful factors
If smoothing filters are applied to convert AM screen to FM screen in all regions, then moiré is suppressed, but image sharpness and texture are degraded
Solution Approach 1:
The patent implements localized screen conversion by applying smoothing filters only to regions identified as high-risk for moiré. Low-risk regions retain their original sharpness and texture characteristics, achieving a balance between moiré suppression and quality preservation through spatially varying processing intensity
Data Source
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AI summary
[Technical Problem] The purpose of the present disclosure is to provide a moiré occurrence prediction means that predicts a region in which moiré will occur and implements a moiré suppression process only on a pattern including said region, thereby minimizing print deterioration, suppressing the occurrence of moiré, and enabling high quality printing. [Solution to Problem] The moiré occurrence prediction means includes a communication unit for receiving an input image; a periodic structure inclusion determination unit for determining, in the input image; a periodic structure region that includes a periodic structure that induces occurrence of a moiré; and a moiré prediction unit for determining a risk of moiré occurrence in each periodic structure region by performing a predetermined frequency analysis process with respect to each of the determined periodic structure regions, generating a moiré occurrence notification that indicates the risk for each periodic structure region, and outputting the moiré occurrence notification.