Camera Module Multi-Position Capture for High Resolution
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Solution Overview
Problem
The decreasing pixel size in camera modules leads to increased cross-talk between adjacent pixels and a decrease in signal-to-noise ratio (SNR) due to reduced light exposure, making it challenging to generate high-resolution images efficiently, as methods like homography transformation, lens distortion correction, and image warping require significant computation.
Innovation Solution
A camera module with an image sensor that rotates about the x, y, and z axes to capture multiple images at different positions, combined with an image signal processor (ISP) that uses pre-stored parameters to correct and merge these images, reducing computational load and enhancing image resolution without continuous pixel size reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pixel size is decreased to increase resolution, then image resolution is improved, but cross-talk between adjacent pixels increases and signal-to-noise ratio decreases
Solution Approach 1:
The image sensor is divided into multiple pixel units that can be independently controlled. By selectively activating specific pixels and using multiple capture positions, the system achieves high-resolution imaging without requiring continuous pixel size reduction, thereby avoiding cross-talk and noise issues associated with smaller pixels
Solution Approach 2:
Instead of improving resolution solely through pixel size reduction in the two-dimensional sensor plane, the invention introduces a third dimension by capturing images at multiple different positions of the optical device. This multi-position capture approach enables high-resolution reconstruction without compromising pixel quality
2Measurement precision
If homography transformation, lens distortion correction, and image warping are used to generate high-resolution images, then image resolution is improved, but computational load increases significantly
Solution Approach 1:
The system pre-calculates and stores correction parameters for different optical device positions before actual image capture. During imaging, these pre-prepared parameters are directly applied without requiring complex real-time computation of homography transformations, lens distortion correction, or image warping, thereby significantly reducing computational load while maintaining high-resolution output
3Measurement precision
If multiple images are captured at different positions to generate high-resolution images, then image resolution and angle of view are improved, but processing complexity increases
Solution Approach 1:
The system changes the parameter of optical device position to capture multiple images at different orientations. By systematically varying the position parameters and using pre-calculated correction data for each position, the complex task of merging multiple images is simplified into a structured process that reduces processing complexity while achieving high-resolution results with enhanced angle of view
Data Source
AI summary
A camera module may include an image sensor including an optical device configured to rotate about at least one of an x-axis, a y-axis, and a z-axis perpendicular to each other, in response to a mode signal, and configured to generate a plurality of first images, each first image generated when the optical device is at a different position; and an image signal processor (ISP) configured to process the plurality of first images, wherein the ISP is further configured to obtain a plurality of parameters pre-stored according to the mode signal, correct the plurality of first images by using the plurality of parameters, and generate a second image by merging the corrected first images.