Two-Stage Image Quality Assessment Using No-Reference Pre-Score
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Solution Overview
Problem
Current image/video quality assessment systems using reference algorithms can yield incorrect measurements if the image/video content is not of ideal quality prior to processing, as they compare distorted content against a distorted reference, providing a poor basis for comparison.
Innovation Solution
A two-stage quality assessment method is employed, where a no-reference quality assessment algorithm is first used to evaluate the image/video, generating a score that is then utilized by a reference quality assessment algorithm to provide a more accurate evaluation of the processed image/video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a reference quality assessment algorithm is used to assess image/video quality during processing, then the assessment can be performed in real-time, but the measurement accuracy deteriorates when the input content is already distorted
Solution Approach 1:
The system performs a no-reference quality assessment on the input image or video before the reference-based quality assessment. This preliminary action identifies pre-existing distortions in the input content, allowing the subsequent reference-based assessment to account for and correct these distortions, thereby maintaining measurement accuracy while preserving real-time processing capability
Solution Approach 2:
The no-reference quality assessment acts as an intermediary between the input distorted content and the reference-based quality assessment algorithm. It provides information about the input quality that mediates the comparison process, enabling the reference algorithm to adjust its assessment and achieve accurate measurements even when processing distorted content in real-time
2Measurement precision
If a no-reference quality assessment algorithm is used first, then the accuracy of quality measurement is improved, but the processing time and system complexity increase
Solution Approach 1:
The no-reference quality assessment is performed as a preliminary step before the reference-based assessment. This preliminary action is computationally efficient and provides essential information about input content quality, enabling the reference-based assessment to be more accurate without requiring a completely complex re-engineering of the entire system
Solution Approach 2:
The quality assessment process is segmented into two distinct stages: a no-reference assessment stage that evaluates input content quality, and a reference-based assessment stage that performs the main quality measurement. This segmentation allows each stage to be optimized independently, managing overall system complexity while achieving high measurement precision
Data Source
AI summary
A method, system and computer program product for assessing quality of images or videos. A quality assessment of an image or video to be processed is performed using a no-reference reference quality assessment algorithm. A quality measurement, such as a score, reflecting the quality of the image or video, is generated from the no-reference reference quality assessment algorithm. The image or video is then processed and a quality assessment of the processed image or video is performed using a reference quality assessment algorithm that is conditional on the quality measurement provided by the no-reference quality assessment algorithm. In this manner, a more accurate quality measurement of the image or video is provided by the reference quality assessment algorithm.