Image Sameness Determination via Statistical Matching Degrees
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Solution Overview
Problem
Existing systems lack an efficient method to determine whether images produced by different systems, such as printer drivers or drawing modules, are identical or match by human visual perception, requiring multiple comparisons and varying results based on evaluation files.
Innovation Solution
An information processing device calculates a matching degree between image pairs and image groups using various statistical methods, such as arithmetic mean or geometric mean, to determine sameness based on pixel-level or human perception-based differences, and updates matching degrees based on user visual checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple image pairs are compared to determine image sameness, then the reliability of determination is improved, but the complexity of the comparison process increases
Solution Approach 1:
The patent divides the image comparison task into multiple image pairs, where each image pair consists of images from different systems (e.g., different printer drivers or drawing modules). By segmenting the comparison into discrete image pairs that can be individually evaluated, the system achieves reliable determination through multiple comparisons while maintaining manageable process complexity through systematic organization of the comparison data.
2Measurement precision
If statistical methods are used to calculate matching degrees, then the precision of measurement is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent applies statistical methods to transform subjective visual perception into quantifiable matching degree parameters. By changing the measurement approach from direct visual comparison to statistical calculation of matching degrees across multiple image pairs, the system achieves precise measurement of image sameness while the automated statistical processing reduces the manual difficulty of detection and measurement.
3Measurement precision
If human visual perception is used for comparison, then the accuracy of sameness determination is improved, but the time required for comparison increases
Solution Approach 1:
The patent incorporates feedback mechanisms where the results of image pair comparisons are aggregated to determine overall image group sameness. By using feedback from multiple image pair evaluations, the system can efficiently determine accuracy through statistical aggregation rather than requiring time-consuming individual visual assessments of all images, thus reducing total comparison time while maintaining high accuracy.
Data Source
AI summary
An information processing device includes circuitry. The circuitry calculates a matching degree between two images of an image pair. The matching degree of the image pair is one of a plurality of matching degrees of a plurality of image pairs. The circuitry generates information on sameness between two image groups of an image group pair based on the plurality of matching degrees of the plurality of image pairs. The image group pair includes the plurality of image pairs.