Monitoring image quality evaluation method based on multi-scale structure fidelity
By constructing a multi-scale structural fidelity monitoring image quality evaluation method, the shortcomings of traditional methods in capturing multi-feature information are solved, high-precision and detailed image quality evaluation are achieved, and the processing method of human vision system is simulated. 5,000 distorted image databases are established, providing a theoretical basis for the image processing system.
Patent Information
- Application Number
- CN202510344089.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-24
- Publication Date
- 2025-07-11
AI Technical Summary
Traditional image quality evaluation methods are difficult to capture multi-feature information in images comprehensively and efficiently, and cannot meet the accuracy and diversity needs of modern image processing and computer vision applications, especially in complex industrial scenarios.
A monitoring image quality evaluation method based on multi-scale structural fidelity is constructed. The distortion of image profile and edges is measured by calculating and fusing gradient amplitude fidelity of multiple scales, simulating the processing method of human vision systems, quantifying image quality losses using the information theory framework, and establishing a database containing 5,000 distorted images for evaluation.
It has achieved high-precision image quality assessment that is more in line with human perceptual habits, can comprehensively capture image features, provide more detailed quality assessment, and promote the reform of traditional image quality evaluation methods.