Super Resolution Parameter Adjustment via EXIF Data
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Solution Overview
Problem
Existing image processing methods for consumer digital image capturing devices do not effectively enhance image processing performance using Exchangeable Image File Format (EXIF) information, which limits the adjustment of super resolution operations based on shooting parameters.
Innovation Solution
An image processing method and system that obtain shooting parameters from an image capturing device, determine super resolution parameters, and execute a super resolution process on captured images, utilizing an image processing system with a parameter unit, control unit, and super resolution unit to adjust the super resolution operation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If super resolution operation is executed on captured images, then image quality is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent changes processing parameters dynamically based on shooting conditions. The control unit adjusts super resolution processing parameters (such as processing strength, algorithm selection, or whether to apply processing) based on shooting parameters like focal length, aperture, and ISO from EXIF data. This allows the system to apply aggressive super resolution only when beneficial, reducing unnecessary processing time while maintaining image quality where needed.
Solution Approach 2:
The system implements dynamic adjustment of super resolution processing based on real-time shooting parameters. Rather than applying fixed super resolution processing to all images, the control unit dynamically determines processing parameters according to the specific shooting conditions captured in EXIF data, optimizing the balance between image quality improvement and processing efficiency for each individual image.
2Manufacturing precision
If super resolution processing is applied to all captured images, then image quality is consistently improved, but processing complexity and resource consumption increase
Solution Approach 1:
The patent implements parameter-based conditional processing where shooting parameters from EXIF data (focal length, aperture, ISO, shutter speed) serve as decision criteria. The control unit compares these parameters against predetermined thresholds or conditions to determine whether super resolution processing should be applied and at what intensity, thereby reducing processing complexity by avoiding unnecessary processing of images where it would not provide benefit.
Solution Approach 2:
The patent segments the image processing workflow into two stages: first, rapid assessment of shooting parameters from EXIF data to determine processing necessity; second, conditional execution of super resolution processing only for images meeting specific criteria. This segmentation separates the decision-making logic from the computationally intensive processing, reducing overall system complexity while maintaining quality where needed.
3Productivity
If shooting parameters are obtained and processed to determine super resolution parameters, then processing efficiency is improved, but additional processing steps are required
Solution Approach 1:
The patent performs preliminary extraction and analysis of shooting parameters from EXIF data before executing super resolution processing. By obtaining focal length, aperture, ISO, and other shooting parameters in advance and using them to pre-determine processing parameters, the system avoids unnecessary processing steps and directs computational resources only to images requiring enhancement, thereby improving overall processing efficiency despite the added initial parameter analysis step.
Data Source
AI summary
An image processing method applied to an image capturing device includes the following steps. Firstly, a number of shooting parameters, provided by an image capturing module of the image capturing device, are obtained. Next, a number of super resolution parameters are obtained according to the shooting parameters. Then, a captured image is obtained through the image capturing module. After that, a super resolution operation is executed on the captured image based on the super resolution parameters.