Image Processing with Adaptive ISP Parameters for Diverse Scenarios
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Solution Overview
Problem
Current image processing methods using fixed algorithm parameters are not adaptable to various scenarios, leading to suboptimal image processing results.
Innovation Solution
An image processing method that dynamically adjusts ISP parameters based on raw images captured in different scenarios, using an ISP parameter prediction model to generate scenario-specific parameters, reducing computing pressure and ensuring compatibility with existing hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed algorithm parameters are used for image processing, then the processing method is simple and easy to implement, but the adaptability to different scenarios is poor
Solution Approach 1:
The patent applies dynamics by transitioning from fixed algorithm parameters to dynamic parameter adjustment. The system automatically determines ISP parameters based on scene characteristics and lighting conditions, allowing the image processing algorithm to adapt its parameters in real-time according to the actual imaging scenario, thereby resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The patent implements parameter changes by varying the ISP parameters according to different imaging scenarios. The system adjusts parameters such as noise reduction strength, sharpness, and color processing based on scene type and lighting conditions, enabling the same processing pipeline to optimize performance across diverse applications without increasing overall system complexity.
2Manufacturing precision
If dynamic ISP parameter adjustment is implemented, then image processing accuracy for different scenarios is improved, but computing pressure increases
Solution Approach 1:
The patent applies self-service by implementing automatic parameter determination where the system itself analyzes the input image and selects appropriate ISP parameters without external intervention. The automatic scene recognition and parameter selection mechanism reduces the need for manual configuration and computational overhead, thereby improving processing accuracy while controlling computing pressure.
Solution Approach 2:
The patent implements preliminary action by pre-defining multiple ISP parameter sets corresponding to different imaging scenarios. The system prepares these parameter configurations in advance and only performs computation to determine which pre-defined parameters to apply, rather than computing optimal parameters from scratch, thus reducing real-time computing pressure while maintaining high processing accuracy.
3Use of energy by moving object
If periodic ISP parameter obtaining is implemented, then computing pressure is reduced, but parameter update frequency is limited
Solution Approach 1:
The patent applies periodic action by implementing ISP parameter updates at specific intervals or triggered by significant scene changes. Rather than continuously adjusting parameters, the system periodically re-evaluates scene characteristics and updates parameters only when necessary, thereby reducing computing pressure while maintaining adequate parameter freshness for different imaging scenarios.
Data Source
AI summary
An image processing method includes generating corresponding image signal processor (ISP) parameters based on raw images captured by a camera in different scenarios; and performing image processing on different raw images based on different ISP parameters to obtain processed images. In this way, the ISP parameters are dynamically adjusted, to perform, based on the different ISP parameters, image processing on the raw images captured in the different scenarios, so as to implement adaptive image enhancement for the different scenarios.