Camera Sensor Bias Calibration for High-Resolution Image Synthesis
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Solution Overview
Problem
Conventional camera sensors have limitations in image resolution, restricting the quality of images captured, as they are bound by their physical properties and cannot exceed the resolution supported by the sensor.
Innovation Solution
The technology generates a bias associated with the camera sensor, using techniques such as directional or random biases, to combine multiple images captured at supported resolutions, determining weights for each image based on the bias, and performing a join operation to create a high-resolution image that exceeds the physical limits of the camera sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are combined using bias information, then image resolution is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary characterization of camera sensor bias by capturing multiple images at the same location and analyzing pixel variations before the actual high-resolution imaging task. This pre-computed bias information is stored and reused, avoiding the need to perform complex analysis during the main imaging process, thus resolving the contradiction between achieving high resolution and maintaining processing simplicity.
Solution Approach 2:
The invention creates a computational model (copy) of the sensor bias characteristics that can be applied to multiple images without re-analyzing the raw data each time. This model serves as a reusable template that simplifies the combination process while maintaining high resolution output, addressing the complexity issue.
2Measurement precision
If multiple images are captured and processed, then image quality is improved, but time consumption increases
Solution Approach 1:
The system performs bias characterization in advance during a calibration phase, separating the time-consuming analysis work from the actual image capture and combination process. This allows the main imaging operation to proceed more quickly using pre-computed bias information, reducing the perceived processing time while maintaining image quality.
Solution Approach 2:
The system captures more images than the minimum single image, using multiple captures to characterize bias and improve quality. By performing this partial analysis upfront and reusing the results, the system achieves quality improvement without proportionally increasing the time cost for each subsequent image.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media can obtain information relating to a bias associated with a camera sensor. A plurality of images of a scene captured by the camera sensor can be obtained, where the plurality of images are captured at a resolution supported by the camera sensor. A plurality of weights for each image of the plurality of images can be determined based at least in part on the bias. A combined image of the scene can be generated based on the plurality of images and the determined weights, the combined image having a resolution higher than the resolution supported by the camera sensor.