Multi-Context Image Capture Using Dynamic ISP Settings
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Solution Overview
Problem
Traditional camera systems are limited by fixed image signal processor (ISP) settings, which do not adapt to different contexts or purposes, such as human vision versus computer vision applications.
Innovation Solution
The system employs multiple ISP settings to process raw image data, allowing for the generation of distinct images optimized for different contexts, such as human viewing or computer vision tasks, using the same raw data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single fixed ISP setting is used for image processing, then the device complexity is reduced and manufacturing is simplified, but the adaptability to different contexts (human vision vs. computer vision applications) deteriorates
Solution Approach 1:
The patent implements multiple ISP settings that can be dynamically selected based on the application context. The system transitions from a static single setting to a dynamic multi-setting architecture where the appropriate ISP configuration is chosen according to whether the output is intended for human vision or computer vision processing, thereby achieving adaptability without permanently increasing hardware complexity
Solution Approach 2:
The patent changes the processing parameters by maintaining multiple ISP setting configurations with different parameter sets. Each ISP setting contains optimized parameters for specific contexts (e.g., human vision optimization vs. computer vision optimization), allowing the system to adapt to different applications by selecting the appropriate parameter set rather than changing the physical device structure
2Adaptability or versatility
If multiple ISP settings are implemented for different contexts, then the adaptability and functionality for different applications are improved, but the device complexity and processing overhead increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple ISP settings with optimized parameters for different contexts before runtime. The system prepares human vision-optimized and computer vision-optimized ISP configurations in advance, so that during operation, the appropriate pre-configured setting can be selected without requiring complex real-time analysis or recalibration, thus reducing processing overhead while maintaining high adaptability
Data Source
AI summary
Imaging systems and techniques are described. For example, an imaging system may receive raw image data captured using an image sensor. The imaging system may process the raw image data according to a first image signal processor (ISP) setting to generate a first image and process the raw image data according to a second ISP setting (that is distinct from the first ISP setting) to generate a second image. The imaging system may output the first image and the second image.