Image Quality Evaluation via Deterioration Factor Classification
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Solution Overview
Problem
Existing techniques for evaluating image quality, particularly in the context of eye images, do not adequately consider both the deterioration degree and specific deterioration factors, leading to incomplete quality assessments.
Innovation Solution
An information processing apparatus and method that include a deterioration degree calculation unit, a deterioration factor classification unit, and a quality score calculation unit. These units work together to calculate a deterioration degree, classify deterioration factors, and compute a quality score based on both the deterioration degree and classified factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only a simple quality evaluation is performed without considering deterioration factors, then the evaluation process is simple and fast, but the accuracy and comprehensiveness of the quality assessment is insufficient
Solution Approach 1:
The quality evaluation process is segmented into distinct components: a deterioration degree calculation unit that quantifies the extent of quality degradation, and a deterioration factor classification unit that identifies specific causes (e.g., blur, noise, artifacts). This segmentation allows the system to comprehensively assess quality by analyzing multiple independent aspects separately, then integrating them for a complete evaluation, thereby improving accuracy without overwhelming complexity.
Solution Approach 2:
The patent introduces intermediate processing units that act as mediators between the input image and the final quality score. The deterioration degree calculation unit and deterioration factor classification unit serve as intermediary steps that break down the complex evaluation task into manageable components, enabling accurate quality assessment through systematic intermediate analysis rather than direct evaluation.
2Measurement precision
If comprehensive quality evaluation considering multiple deterioration factors is performed, then the quality assessment accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary classification of deterioration factors before conducting detailed quality assessment. By first identifying what type of deterioration is present (e.g., blur, noise, artifacts) and calculating an overall deterioration degree, the system can then focus computational resources on the specific factors detected, rather than uniformly processing all possible deterioration types. This preliminary action reduces unnecessary computational overhead while maintaining comprehensive evaluation accuracy.
Data Source
AI summary
An information processing apparatus includes: a deterioration degree calculation unit that calculates a deterioration degree in quality of an image; a deterioration factor classification unit that classifies a deterioration factor that is a factor of deterioration in the quality of the image; and a quality score calculation unit that calculates a quality score indicating the quality of the image, on the basis of the deterioration degree and the deterioration factor. According to such an information processing apparatus, the quality of the image can be properly evaluated.