Adaptive Digital Image Capture Correction for Scene Information
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Solution Overview
Problem
Digital cameras often face challenges in automatic image capture processing due to insufficient information in captured scenes, leading to suboptimal output corrections in functions like white balance and lens shading correction.
Innovation Solution
An apparatus that accesses digital image frames, analyzes information content change and reliability, and adjusts control values using weights to improve image processing accuracy, reducing processor load and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic image capture processing functions (white balance, lens shading correction) are implemented, then image processing capability is improved, but processing accuracy deteriorates when scene information is insufficient
Solution Approach 1:
The system analyzes information content in captured frames and uses this feedback to dynamically adjust processing. When scene information is insufficient, the system detects this through information content analysis and applies corrective measures such as using default values or combining multiple frames, thereby maintaining processing accuracy while preserving automatic operation.
Solution Approach 2:
The processing system transitions from static automatic processing to dynamic adaptive processing. The system continuously evaluates information content reliability and adjusts processing parameters in real-time based on scene conditions, allowing it to optimize between fully automatic operation and manual intervention based on actual scene requirements.
2Productivity
If processing of all captured frames is performed, then processing completeness is improved, but power consumption increases
Solution Approach 1:
The system extracts and processes only the essential information from captured frames rather than performing full processing on all frames. By identifying frames with sufficient information content and focusing processing only on those frames, the system maintains processing completeness for critical data while significantly reducing overall power consumption.
Solution Approach 2:
The system applies partial processing based on information content analysis. When frames contain sufficient information, full processing is applied; when information is insufficient, reduced processing or default values are used. This selective approach ensures adequate processing completeness while minimizing unnecessary power consumption from excessive processing of low-value frames.
Data Source
AI summary
In one example, digital image frames are accessed, each of the digital image frames having an associated control value for an automatic image capture processing function. A measure of information content change is determined for a current digital image frame relative to at least one previous digital image frame. A measure of information content reliability with respect to the automatic image capture processing function is determined for the current digital image frame. The control value associated with the current digital image frame is corrected based on the determined measure of information content change and the determined measure of information content reliability. A final control value for the automatic image capture processing function is output based on corrected control values for one or more digital image frames.