Reference-Guided Tele Image Stitching for Large FOV Imaging
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Solution Overview
Problem
Existing multi-camera systems struggle to create seamless, high-resolution images with a large field of view (FOV) due to limitations in Tele camera resolution and signal-to-noise ratio, leading to perspective distortion and inefficiencies in image alignment.
Innovation Solution
A method utilizing reference image data and Tele image data to create a new image with a larger FOV, achieving higher resolution and signal-to-noise ratio by aligning and stitching Tele images with a reference image, and applying super-resolution algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If Tele camera resolution is increased, then image resolution REST improves, but field of view FOVT narrows
Solution Approach 1:
The patent segments the image capture process into multiple Tele images taken at different FOVT positions, then combines them with a single Reference image to create a composite Super Image that achieves both high resolution and large field of view
Solution Approach 2:
The patent merges multiple Tele images with a Reference image through alignment and stitching operations, combining the high resolution characteristics of Tele images with the large field of view characteristics of the Reference image
2Area of moving object
If panorama stitching is performed without reference image, then large FOV coverage is achieved, but perspective distortion occurs
Solution Approach 1:
The patent introduces a Reference image as an intermediary that provides a stable geometric framework for aligning multiple Tele images, eliminating the need for mutual alignment between Tele images and preventing perspective distortion
Solution Approach 2:
The patent performs preliminary alignment of each Tele image with the Reference image before final stitching, establishing correct geometric relationships in advance to prevent distortion in the final composite image
3Manufacturing precision
If multiple Tele images are captured and aligned manually, then high resolution image can be created, but alignment efficiency decreases
Solution Approach 1:
The patent enables automatic alignment where each Tele image self-aligns to the Reference image through automated feature matching and transformation operations, eliminating the need for manual alignment intervention
Solution Approach 2:
The patent uses the Reference image as a feedback standard to guide the alignment process, continuously comparing Tele image features with Reference image features to achieve precise automatic alignment
Data Source
AI summary
Systems and methods for obtaining a seamless, high resolution, large field of view image comprise capturing a plurality of Tele images in a scene using a scanning Tele camera, each captured Tele image having an associated Tele field of view FOVT, retrieving a R image having a respective R image scene with a field of view greater than FOVT, analyzing the R image for defining an order of scanning positions according to which the folded Tele camera scans a scene to capture the plurality of Tele images, aligning the plurality of Tele images and the R image to obtain aligned Tele images, and composing the aligned Tele images into an output image. The output image may include at least parts of the R image and may be one of a stream of output images.