Digital Image Quality Grading Using Area Ratios and Center Distance
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Solution Overview
Problem
Existing digital image quality grading methods are complex and difficult to configure, especially when determining grading rules for digital images with multiple elements, as they require calculations of main body region blocks, sizes, positions, and threshold values.
Innovation Solution
A method and device that calculate a first ratio value of main body region blocks, a second ratio value of background region blocks, and a normalized distance value from pixel points to a center pixel, using these values in a preset digital image quality score conversion relation to obtain a quality score and grade the image, simplifying the configuration and realization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing digital image quality grading method is used (calculating main body region blocks, sizes, positions with preset threshold values), then quality grading can be performed, but the grading rule setting becomes more difficult and the realization process becomes more complex when there are more elements
Solution Approach 1:
The patent transforms the complex multi-dimensional grading criteria (numbers, sizes, positions of main bodies) into a simplified parameter system using three key parameters: main body area ratio, background area ratio, and center distance. This parameter transformation resolves the contradiction by maintaining grading accuracy while significantly reducing the complexity of grading rule configuration and implementation.
Solution Approach 2:
The patent extracts the essential quality characteristics from complex image analysis and consolidates them into three core parameters. By taking out only the most critical features (area ratios and center distance) and discarding less important details, the system achieves accurate quality grading with much simpler rules, directly resolving the contradiction between precision and complexity.
2Reliability
If existing digital image quality grading method is used with multiple elements and preset threshold values, then comprehensive quality assessment is achieved, but the configuration and realization process becomes more complex
Solution Approach 1:
The patent changes the parameter representation from multiple discrete threshold values (number thresholds, size thresholds, position thresholds) to a consolidated set of three parameters (main body area ratio, background area ratio, center distance). This transformation maintains comprehensive quality assessment capability while dramatically improving configuration ease, as users only need to set three parameters instead of multiple separate thresholds.
Solution Approach 2:
The three parameters introduced in the patent serve multiple quality assessment functions simultaneously. The area ratios capture both composition and proportion aspects, while the center distance captures positioning information. This multi-functionality allows comprehensive quality assessment with minimal parameters, resolving the contradiction between reliability and ease of configuration.
Data Source
AI summary
The disclosure describes a grading method and device for digital image quality. The method comprises: obtaining a digital image and extracting n main body region blocks from the image; calculating a first ratio value of the area of a plurality of main body region blocks to the total area of the image, a second ratio value of the area of background region blocks to the total area of the image, and a normalized distance value from a plurality of the pixel points in the plurality of main body region blocks to a center pixel point of the image; calculating to obtain a quality score value of the image through a preset digital image quality score conversion relation based on the first ratio value, the second ratio value, and the normalized distance value; and grading a quality of image according to a quality score value of the image and a preset digital image quality score threshold value.