Image Blur Correction via Inverse Transfer Function
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Solution Overview
Problem
Current image processing techniques fail to effectively correct image blur caused by relative motion between the camera and the subject, often resulting in data loss and a less accurate image.
Innovation Solution
The method involves measuring relative motion between the imaging device and the subject using sensors, determining a transfer function representing this motion, and applying an inverse transfer function through an image correcting filter to reverse the blurring effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current image processing techniques are used to correct blur, then image processing is performed, but data loss occurs and image accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by measuring relative motion between the imaging device and subject using sensors during image capture, and determining the transfer function representing this motion before the blur correction process. This preliminary measurement and characterization of motion allows for accurate reconstruction of the original image without data loss, as the correction is based on actual motion data rather than post-processing estimation.
2Measurement precision
If image blur correction is applied, then image quality improves, but complex processing is required
Solution Approach 1:
The patent implements feedback by using sensors to continuously measure relative motion during image capture, feeding this motion information back to determine the transfer function, which then guides the blur correction process. This feedback loop ensures that the correction algorithm is based on actual measured motion rather than estimation, improving image quality while keeping processing manageable through targeted correction.
3Stability of the object's composition
If mechanical stabilization devices are added to correct blur, then image stability improves, but device weight and robustness deteriorate
Solution Approach 1:
The patent replaces mechanical stabilization devices with a digital signal processing approach. Instead of using physical mechanisms to counteract camera motion, the invention uses sensors to measure relative motion and applies mathematical correction through transfer function inversion and deconvolution filtering. This substitution eliminates the need for heavy mechanical components while achieving image stabilization through software-based correction.
Data Source
AI summary
A method, apparatus, and processor for capturing digital images. The method comprising: displaying a preview scene to be captured in a user interface of the imaging device, capturing a plurality of images using a lens having one or more lens elements and at least one moveable lens element, and moving the moveable lens element electro-mechanically to counter an effect of motion. The method further including processing the plurality of images, receiving and executing instructions stored in a memory of the imaging device, to obtain a corrected image, such that the corrected image includes a first and second subject, the first subject in the corrected image is blur free, and the second subject in the corrected image is blurred compared to the first subject, storing the corrected image in the memory, and displaying the corrected image in the user interface.