Mobile Image Resolution Adjustment Post-Capture
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Solution Overview
Problem
Users of camera-equipped mobile devices often regret image quality settings after capturing images, as they cannot adjust resolution or compression levels post-capture, leading to suboptimal storage usage or quality.
Innovation Solution
A method that allows users to specify a second resolution and compression level for image storage on a mobile device after initial capture, enabling flexibility in image processing and storage options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the image is captured at a higher resolution to ensure quality, then the image quality is improved, but the memory usage increases
Solution Approach 1:
The patent implements dynamic resolution selection where the system automatically adjusts the image resolution based on real-time assessment of image quality and memory availability. Instead of using a fixed resolution setting, the system evaluates each captured image and determines the appropriate resolution to store, allowing high-quality images to be stored at higher resolutions while lower-quality images use reduced resolutions, thus optimizing both image quality and memory usage adaptively
Solution Approach 2:
The system changes the resolution parameter dynamically based on image characteristics and storage conditions. By analyzing image quality metrics and available memory space, the system adjusts the resolution parameter for each image individually, rather than applying a static resolution setting to all images, thereby resolving the contradiction between maintaining high image quality and conserving memory resources
2Quantity of substance
If the image is captured at a lower resolution to conserve memory, then the memory usage is reduced, but the image quality deteriorates
Solution Approach 1:
The system dynamically determines the appropriate resolution for each image based on quality assessment and memory constraints. Rather than uniformly reducing resolution to save memory, the system evaluates each image and applies resolution reduction only when quality permits, ensuring that memory is conserved without unnecessarily degrading the quality of images that could maintain higher resolution
Solution Approach 2:
The resolution parameter is adjusted based on a balance between memory availability and image quality thresholds. The system changes the resolution parameter selectively, maintaining higher resolution for images that meet quality criteria while using lower resolution for images where quality allows, thus optimizing the trade-off between memory conservation and image quality preservation
3Ease of operation
If the user is prompted to select resolution and compression settings for each image, then the control over image quality is improved, but the time required for image processing increases
Solution Approach 1:
The system performs automatic assessment of image quality and automatic selection of appropriate resolution and compression settings without requiring user intervention for each image. The system serves itself by evaluating captured images and determining optimal storage parameters autonomously, thereby maintaining ease of operation through automated quality control while eliminating the time loss associated with manual setting selection for each image
Solution Approach 2:
The system performs preliminary evaluation of image quality immediately upon capture and pre-determines the appropriate resolution and compression settings before storage. This preliminary action allows the system to automatically configure optimal parameters based on image characteristics and available memory, providing quality control without requiring time-consuming user input for each image processing decision
Data Source
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AI summary
A system and method for processing images on a camera-equipped mobile device. Upon direction from the user that a picture is to be taken with the camera of the mobile device, an image is initially captured and temporarily stored at a first resolution (e.g. a maximum resolution). This may be, for example, the highest resolution setting that might be specified by a user of the camera. The user is then queried for a specific second resolution at which the image is to be subsequently stored, for example, in a non-volatile memory on the mobile device.