Dual Camera Module Noise Reduction via Segmentation
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Solution Overview
Problem
Single camera modules face challenges in achieving high resolution and image quality without increasing module height, leading to issues with noise and detail expression, especially in low-light conditions.
Innovation Solution
A dual camera module comprising a first camera with large single pixel size for reduced color noise and a second camera with high resolution for improved luminance, where the images are synthesized to generate a third image with enhanced quality and detail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the resolution of a single camera is increased, then the image quality improves, but the module height needs to be increased to maintain image quality
Solution Approach 1:
The patent divides the camera system into two separate camera modules, each with distinct functions: one camera is optimized for color capture with larger pixels, while the other is optimized for luminance capture with higher resolution. This segmentation allows each camera to specialize in specific imaging aspects without requiring either to compromise on overall system height, thereby resolving the contradiction between high resolution and compact module height.
2Measurement precision
If the single pixel size is reduced to increase resolution, then the resolution improves, but the image quality becomes distorted with severe noise
Solution Approach 1:
The patent segments the imaging functions by assigning different pixel size optimizations to different cameras: one camera uses larger pixels for better light sensitivity and lower noise in color channels, while the other uses smaller pixels for higher resolution in luminance channels. This functional segmentation resolves the contradiction by allowing each camera to operate in its optimal performance range without forcing either to compromise.
Solution Approach 2:
The patent applies local quality by optimizing different regions of the imaging system for different purposes: the color camera uses larger pixels specifically for color capture where noise reduction is critical, while the luminance camera uses smaller pixels specifically for detail capture where resolution is paramount. This localized optimization allows the system to achieve both high resolution and low noise in their respective domains.
3Measurement precision
If a dual camera design is adopted to improve resolution, then resolution improves, but the image quality is still not improved
Solution Approach 1:
The patent implements local quality by assigning specialized functions to each camera: one camera is optimized for color imaging with larger pixels and lower color noise, while the other is optimized for luminance imaging with higher resolution. The image processing unit then selectively combines the color information from the first camera with the luminance information from the second camera, ensuring that each camera contributes its strength to the final image quality.
Solution Approach 2:
The patent merges the complementary strengths of two differently optimized cameras by combining the color signal from the first camera with the luminance signal from the second camera. This merging creates a final image that benefits from both the low color noise of the first camera and the high luminance detail of the second camera, thereby improving overall image quality beyond what either camera could achieve alone.
Data Source
AI summary
Provided is image generation based on a dual camera module. The dual camera module comprises a first camera lens of a large single-pixel size and a second camera lens of a high resolution. The first camera lens generates a first image. The second camera lens generates a second image. The first image and the second image are synthesized to generate a third image. Correspondingly, also provided is a dual camera module. With the dual camera module, by combining the advantages of the two camera lens, color noise and luminance noise of an image are reduced.