Image Processing Device Resolution Acquisition and Distortion Correction
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Solution Overview
Problem
Image processing devices, such as digital cameras, face challenges in accurately determining and ensuring the resolution of a target image picked up within specified dimensions, particularly due to projection distortions caused by the camera's angle, which affects image quality and display processing.
Innovation Solution
An image processing device comprising a dimension information acquisition unit, a pickup image quality information acquisition unit, and a resolution acquisition unit that calculates the resolution of a target image based on extracted dimension information and image quality, performs distortion correction, and displays a distortion base region to indicate whether the target image meets the specified resolution, using a control section with specific sections for attribute acquisition, region detection, distortion parameter calculation, and geometric correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera picks up images at various angles to capture the target, then the coverage and versatility of image capture is improved, but projection distortions occur that degrade the resolution accuracy of the target image
Solution Approach 1:
The system performs preliminary distortion correction by calculating distortion parameters from the camera angle and applying correction transformations before final image processing. This preliminary action compensates for projection distortions that will occur during angled capture, ensuring resolution accuracy is maintained despite angle flexibility.
Solution Approach 2:
The system changes the parameter space by introducing distortion correction parameters based on camera angle measurements. By dynamically adjusting correction parameters according to the capture angle, the system maintains resolution accuracy across various shooting angles without sacrificing adaptability.
2Manufacturing precision
If the system performs distortion correction processing on picked-up images, then the target image resolution accuracy is improved, but the processing time and complexity increase
Solution Approach 1:
Distortion correction parameters are calculated preliminarily based on camera angle information before actual image processing. This preliminary calculation of correction parameters avoids the need for complex iterative correction during main processing, reducing overall processing time while maintaining resolution accuracy.
Solution Approach 2:
The system replaces complex mechanical distortion correction with computational methods. By using mathematical transformations based on distortion parameters rather than physical recalibration, the system achieves accurate resolution correction with minimal processing time.
3Measurement precision
If the device calculates and displays distortion base regions to indicate resolution compliance, then the user feedback and measurement precision are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The distortion base region calculation acts as an intermediary step that translates complex distortion correction parameters into simple visual indicators on the display. This intermediary representation provides precise resolution compliance information to users without requiring the display system to handle the full complexity of distortion parameters.
Solution Approach 2:
The system creates a simplified copy or representation of the distortion correction information in the form of distortion base regions displayed on the screen. This visual copy conveys resolution compliance status without requiring users to understand the underlying complex processing parameters.
Data Source
AI summary
An image processing device includes a dimension information acquisition unit that acquires dimension information specifying dimensions of a target image formed by extracting a region of a target of an image containing the target, picked up by image pickup unit. The image processing device further includes a pickup image quality information acquisition unit that acquires pickup image quality information indicating an image quality of the region of the target in the pickup image picked up by the image pickup unit; and a resolution acquisition unit that acquires a resolution of the region of the target when the region of the target is formed in the dimensions based on the dimension information and the pickup image quality information.


