Picture Quality Assessment via EXIF Focus and Acutance Analysis
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Solution Overview
Problem
Users face challenges in quickly selecting and browsing high-quality photos from large collections taken with mobile devices, as existing photo classification methods do not effectively differentiate between good and poor quality images, often resulting in time-consuming filtering and deletion processes.
Innovation Solution
A picture processing method that records focus coordinates in EXIF information, calculates acutance and noise points, and determines a quality parameter for each image, allowing for storage and display based on this parameter, enabling quick identification and optimization of photo quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually browse and filter photos one by one, then they can identify quality photos, but it consumes a lot of time and energy
Solution Approach 1:
The patent applies preliminary action by automatically calculating quality parameters (acutance, noise points) for all photos in advance using image processing algorithms. This pre-computation stores quality metrics in a database, enabling users to quickly retrieve and filter photos by quality without manually examining each image, thus resolving the contradiction between accurate quality identification and time consumption
Solution Approach 2:
The patent replaces the mechanical manual browsing process with an automated image processing system that uses algorithms to calculate acutance values and detect noise points. This substitution of manual visual inspection with automated computational analysis achieves both high quality identification accuracy and efficient processing speed
2Reliability
If users take many photos to ensure quality, then they can capture desired scenes, but they accumulate large numbers of low-quality photos requiring filtering
Solution Approach 1:
The patent replaces manual quality assessment with automated image processing algorithms that calculate objective quality metrics (acutance, noise points). This allows the system to reliably identify high-quality photos from large collections without requiring users to manually review each image, thus maintaining quality assurance while managing large photo quantities efficiently
Solution Approach 2:
The patent introduces an intermediary quality parameter database that stores pre-calculated acutance and noise point values for each photo. This intermediary layer enables efficient querying and filtering of photos by quality metrics, allowing users to navigate large photo collections without examining each image directly, thus managing the contradiction between photo quantity and quality assurance
Data Source
AI summary
A picture processing method and an electronic device are described. The method includes: adding a focus coordinate corresponding to a picture into exchangeable image file (EXIF) information corresponding to the picture when the picture is collected, so as to obtain extended EXIF information; determining a main area of the picture according to the extended EXIF information; calculating an average acutance value corresponding to the main area, and detecting number of noise points in the main area; and calculating to obtain a quality parameter corresponding to the picture by using the average acutance value and the number of noise points, and storing or displaying the picture according to the quality parameter.