Image Signal Processor Parameter Alignment for Multi-Camera Blending
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Solution Overview
Problem
In 360° image capture devices with multiple image capture units, misalignment of parameters such as color sensitivity and lens characteristics increases blending complexity, requiring significant computing resources and affecting the quality of the final image or video.
Innovation Solution
Implementing parameter alignment processing that applies luminance lens shading, color lens shading, exposure difference, white balance, lens exposure correction, and flare compensation factors to align images from multiple capture devices, reducing blending complexity and enabling real-time processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple image capture devices with different characteristics are used to capture 360° images, then the field of view and coverage are improved, but the blending complexity and computing resources required increase significantly
Solution Approach 1:
The patent applies parameter alignment processing before blending to pre-align images from multiple capture devices. By performing luminance lens shading compensation, color lens shading compensation, exposure difference compensation, white balance compensation, lens exposure correction, and flare compensation in advance, the images are prepared with matched parameters, which simplifies the subsequent blending operation and reduces computing resources required.
Solution Approach 2:
The patent transforms images by applying multiple compensation factors to adjust various parameters including luminance, color, exposure, white balance, and flare characteristics. These parameter changes align the images from different capture devices to a common reference, enabling simpler blending operations while maintaining the expanded field of view coverage.
2Device complexity
If parameter alignment processing is applied to align images from multiple capture devices, then blending complexity is reduced, but the processing time and computational steps increase
Solution Approach 1:
Parameter alignment processing is performed as a preliminary step before blending to pre-align images from multiple capture devices. By completing compensation operations in advance, the actual blending operation becomes simpler and faster, reducing the time critical path during real-time or near-real-time processing scenarios.
Solution Approach 2:
The patent combines multiple compensation operations (luminance lens shading, color lens shading, exposure difference, white balance, lens exposure correction, and flare compensation) into a unified parameter alignment processing pipeline. This merging of operations streamlines the workflow and enables more efficient processing by handling all parameter adjustments in an integrated manner before blending.
3Manufacturing precision
If multiple compensation factors are applied to align images, then the quality of the final blended image is improved, but the computational resources and processing complexity increase
Solution Approach 1:
Multiple compensation factors are applied in advance to pre-align images with high precision before blending. By performing luminance lens shading compensation, color lens shading compensation, exposure difference compensation, white balance compensation, lens exposure correction, and flare compensation beforehand, the images arrive at the blending stage already aligned, reducing the computational burden during the blending operation itself.
Solution Approach 2:
The patent applies comprehensive parameter changes across multiple dimensions including luminance, color, exposure, white balance, and flare characteristics. These coordinated parameter adjustments achieve high-precision alignment between images from different capture devices, ensuring superior final image quality while distributing computational workload across the processing pipeline.
Data Source
AI summary
Methods for parameter alignment processing are described herein. An image capture device includes a first image capture device configured to capture a first image, a second image capture device configured to capture a second image, and an image signal processor connected to the first image capture device and to the second image capture device. The image signal processor is configured to apply, to the first image and the second image, at least two of a respective luminance lens shading (LLS) compensation factor, a respective color lens shading (CLS) compensation factor, a respective exposure difference compensation factor, a respective white balance compensation factor, a respective lens exposure correction (LEC) compensation factor, and a respective flare compensation factor, blend the compensated first image and the compensated second image to form a blended image, and output an image based on the blended image.