Image Stabilization Drift Error Removal
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Solution Overview
Problem
Image stabilization techniques face challenges in removing drift errors, leading to image deterioration and increased failure rates due to the accumulation of motions between adjacent images, especially in environments with significant camera sway or movement.
Innovation Solution
The method involves acquiring a first stabilized image by inversely transforming the accumulation of motions between adjacent images and then applying a second compensated motion to remove drift errors, using characteristic points and motion models to estimate and correct for movements, rotations, and size changes between reference and current images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion accumulation is applied between adjacent images for stabilization, then image stabilization is achieved, but drift errors accumulate leading to image deterioration
Solution Approach 1:
The patent implements a feedback mechanism by detecting drift errors in the stabilized image and using these detections to adjust and correct the motion accumulation process. The system continuously monitors stabilization results and modifies subsequent motion compensation based on detected drift patterns, thereby maintaining both stabilization effectiveness and image accuracy.
Solution Approach 2:
The patent changes parameters of the motion estimation and compensation process based on detected drift characteristics. By adjusting motion model parameters, search window sizes, and compensation thresholds according to drift error patterns, the system optimizes the balance between stabilization strength and drift prevention.
2Measurement precision
If high magnifying power is used for capturing images, then image detail is improved, but camera sway impact is amplified
Solution Approach 1:
The patent applies preliminary motion compensation by estimating and correcting camera sway before the sway can significantly impact the captured image. By proactively adjusting for predicted motion based on previous frame analysis, the system prevents sway-related deterioration while maintaining high magnification benefits.
3Reliability
If digital image stabilization is applied to correct swaying, then image clarity is improved, but drift errors remain causing image deterioration
Solution Approach 1:
The patent implements a feedback mechanism by detecting drift errors in the stabilized image and using these detections to adjust and correct the motion accumulation process. The system continuously monitors stabilization results and modifies subsequent motion compensation based on detected drift patterns, thereby maintaining both stabilization effectiveness and image accuracy.
Solution Approach 2:
The patent replaces traditional mechanical stabilization approaches with an enhanced digital processing system that uses characteristic point tracking and drift detection algorithms. This substitution enables more precise error detection and correction capabilities compared to purely mechanical or basic digital methods.
Data Source
AI summary
Provided are an apparatus and method for outputting a stabilized image even when a camera sways. The method includes: applying a first compensated motion to the image to acquire a first stabilized image, wherein an accumulation result of first motions, each of which is estimated between adjacent images from a reference image to an arbitrary image, is inversely transformed into the first compensated motion; and acquiring a second motion estimated between the reference image and the first stabilized image and applying the accumulation result of the first motions and a second compensated motion to the image to acquire a second stabilized image. An accumulation result of the second motion is inversely transformed into the second compensated motion.