Mobile Terminal Image Capture with Motion-Aware Synthesis Forecasting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image capturing technologies in mobile devices struggle to efficiently capture images of moving objects, requiring users to manually enable shake synthesis functions, which can be cumbersome and inefficient.
Innovation Solution
A method that uses a pre-trained forecasting model to predict the optimal number of images for synthesis and exposure parameters based on a preview image, allowing the device to automatically compute and apply these settings for improved image capture efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually enable shake synthesis functions to capture images of moving objects, then image quality can be improved, but operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects motion in the preview image and determines the number of synthesis images required without user intervention. The processor analyzes the preview image to identify moving objects and autonomously configures the shake synthesis parameters, allowing the system to serve itself rather than requiring manual user configuration.
Solution Approach 2:
The system performs preliminary analysis of the preview image before the actual image capture. By pre-detecting motion and pre-determining the optimal number of synthesis images based on the preview content, the system prepares all necessary parameters in advance, eliminating the need for post-capture adjustments or manual intervention during the shooting process.
2Manufacturing precision
If shake synthesis function is enabled to capture moving objects, then image clarity can be improved, but power consumption increases
Solution Approach 1:
Instead of always enabling full shake synthesis functionality, the system applies partial action by only activating the synthesis process when motion is detected in the preview image. The number of synthesis images is precisely controlled based on the detected motion level, avoiding unnecessary energy consumption when no motion is present while ensuring adequate synthesis when needed.
Solution Approach 2:
The system dynamically changes the parameter of number of synthesis images based on the content of the preview image. By analyzing motion characteristics in the preview and adjusting the synthesis parameter accordingly, the system optimizes power consumption by matching the synthesis intensity to the actual imaging requirements rather than using a fixed high-power setting.
3Manufacturing precision
If the number of synthesis images is increased to improve image quality, then image clarity of moving objects improves, but capture time and processing load increase
Solution Approach 1:
The system dynamically determines the number of synthesis images based on the motion characteristics observed in the preview image. Rather than using a static or overly conservative fixed number, the system adapts the synthesis count to the actual motion level, ensuring sufficient images are captured for clarity while minimizing unnecessary capture time when motion is minimal or absent.
4Ease of operation
If automatic detection of motion is implemented to reduce manual operation, then ease of operation improves, but device complexity increases
Solution Approach 1:
The existing preview image acquisition and processing components are extended to serve dual purposes: traditional preview display and motion detection for automatic shake synthesis control. By making the preview system multi-functional, the patent avoids adding separate dedicated motion detection hardware or complex separate processing pipelines, thereby reducing overall system complexity while achieving automation.
Data Source
AI summary
A method for capturing images, a terminal, and a computer-readable storage medium are provided, relating to the technical filed of electronics. The method includes the following. A preview image is acquired through a capturing component of a terminal and an exposure parameter value corresponding to the preview image is acquired, when the capturing component is enabled. An image capturing parameter value in a current blurred scene is forecasted according to the preview image, the exposure parameter value, and an image capturing parameter related pre-trained forecasting model with an image data parameter, an exposure parameter, and an image capturing parameter as variables, where an image capturing parameter in the current blurred scene includes the number of images for synthesis. An image is captured according to the image capturing parameter value forecasted, upon receiving a capturing instruction.