Automated Image Quality Classification System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Service providers face challenges in accurately and efficiently analyzing and classifying the quality characteristics of vast amounts of imagery used in map applications and navigation systems, due to time and human resource constraints, leading to potential poor quality imagery being used.
Innovation Solution
An automated system that determines digital data associated with a region of interest in an image, processes it to identify quality attributes, and compares these attributes to criteria to generate classifications, utilizing machine learning algorithms and gamma transformations to assess exposure levels and other image features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual examination of images is performed, then quality assessment accuracy is improved, but analysis time and resource consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical examination with an automated computer-based image analysis system that uses digital signal processing and pattern recognition algorithms to assess image quality attributes, thereby eliminating the time-consuming human review process while maintaining assessment accuracy
Solution Approach 2:
The system enables self-service quality assessment by automatically analyzing images without human intervention, using embedded processing capabilities to evaluate quality attributes and generate reports independently, freeing human resources for more complex tasks
2Measurement precision
If comprehensive image quality analysis is performed on all images, then quality classification accuracy is improved, but processing speed decreases
Solution Approach 1:
The patent segments the image analysis process into distinct modules that evaluate different quality attributes (exposure, focus, composition, etc.) independently, allowing parallel processing of multiple images and attributes simultaneously, thus improving overall processing speed without sacrificing comprehensive analysis
Solution Approach 2:
The system implements multi-level processing where priority images receive comprehensive analysis while lower priority images undergo expedited partial analysis, optimizing the balance between thoroughness and speed based on application requirements
3Productivity
If automated image processing is implemented, then processing speed is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal image processing platform that handles multiple quality attributes and image types through a single integrated system, reducing overall complexity by eliminating the need for separate specialized systems for different analysis tasks
Data Source
AI summary
An approach is provided for automated analysis and classification of quality characteristics associated with captured imagery that may be used in an application such as a map application. The approach includes determining digital data associated with a region of interest in an image. The approach also comprises processing and/or facilitating a processing of the digital data to determine one or more quality attributes associated with the region of interest. The approach further comprises causing, at least in part, a comparison of the one or more quality attributes to one or more criteria. The approach also comprises causing, at least in part, a generation of one or more classifications for the image based, at least in part, on the comparison.