Rotating Imager Panoramic Image Deblurring and Denoising
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Solution Overview
Problem
Existing imaging systems face challenges in generating high-quality panoramic images from sequences captured by rotating imagers due to issues like motion blur, noise, and spatiotemporal inconsistencies, particularly when using a rolling shutter methodology.
Innovation Solution
A method and system that process sequences of images captured during continuous rotation of an image sensor, involving deblurring using a point-spread function associated with the rotation speed, and denoising based on noise power spectral density, to generate a panoramic image. This includes spatial noise removal, motion deblurring, and denoising stages, with a block-based spatiotemporal filter and adaptive filtering operations to mitigate noise and artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If images are captured during continuous rotation of the image sensor, then the field of view is widened and panoramic coverage is achieved, but motion blur occurs due to the rotation
Solution Approach 1:
The patent applies deblurring processing as a preliminary action to restore image sharpness after motion blur has occurred during rotation. By using point-spread functions and deconvolution algorithms, the system pre-compensates for the expected blur based on rotation speed, thereby maintaining manufacturing precision (image sharpness) while achieving widened field of view through continuous rotation capture
2Area of stationary object
If images are captured during continuous rotation, then panoramic coverage is achieved, but noise increases in the captured images
Solution Approach 1:
The patent extracts and removes noise from the captured images while preserving the panoramic coverage. Through noise modeling and filtering techniques that analyze noise power spectral density, the system separates noise components from actual image data, thereby achieving panoramic coverage while eliminating the harmful noise factor that increases during rotation capture
Solution Approach 2:
The patent converts the harmful noise introduced by rotation into beneficial information by analyzing noise patterns to infer rotation parameters and motion characteristics. The noise, rather than being merely removed, is utilized to improve the overall image processing and panoramic reconstruction accuracy
3Ease of manufacture
If a rolling shutter methodology is used during rotation, then image capture is simplified, but spatiotemporal inconsistencies occur in the captured sequences
Solution Approach 1:
The patent applies feedback mechanisms to detect and correct spatiotemporal inconsistencies introduced by rolling shutter during rotation. By continuously monitoring image data for temporal artifacts and using this feedback to adjust processing parameters, the system maintains capture simplicity while restoring spatiotemporal consistency through adaptive correction algorithms
4Manufacturing precision
If multiple imagers are used to achieve wide field of view, then image quality may be maintained, but system cost and complexity increase
Solution Approach 1:
The patent merges multiple image capture operations into a single rotating imager system. By combining the functions of multiple static imagers into one rotating device with sophisticated processing, the system achieves comparable image quality while reducing device complexity and cost. The merging of capture and processing functions allows a single sensor to perform what would otherwise require multiple sensors
Data Source
AI summary
Techniques are disclosed for panoramic image construction based on images captured by rotating imagers. In one example, a method includes receiving a first sequence of images associated with a scene and captured during continuous rotation of an image sensor. Each image of the first sequence has a portion that overlaps with another image of the first sequence. The method further includes generating a first panoramic image. The generating includes processing a second sequence of images based on a point-spread function to mitigate blur associated with the continuous rotation to obtain a deblurred sequence of images, and processing the deblurred sequence based on a noise power spectral density to obtain a denoised sequence of images. The point-spread function is associated with the image sensor's rotation speed. The second sequence is based on the first sequence. The first panoramic image is based on the denoised sequence.


