Motion Adaptive HDR Image Synthesis via Dynamic Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing technologies fail to effectively obtain clear high dynamic range (HDR) images in dynamic environments due to limitations in motion compensation, especially when camera or object movement occurs, resulting in artifacts and inadequate brightness representation in both dark and bright areas.
Innovation Solution
An apparatus and method that calculate the motion degree between images taken at different exposure times, perform global and local motion compensation, and synthesize images adaptively based on the motion degree, using a control unit to direct images through compensation units or a single image selection unit to achieve motion-adaptive HDR imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple images are taken at different exposure times in a mobile environment, then high dynamic range information can be obtained, but motion artifacts and image degradation occur due to camera or object movement
Solution Approach 1:
The patent calculates motion degree between images before performing HDR synthesis. By detecting motion in advance and determining whether it exceeds a reference threshold, the system prepares appropriate compensation strategies beforehand, preventing motion artifacts from degrading the final HDR image quality while preserving dynamic range information
Solution Approach 2:
The patent extracts and separates motion information from the image processing workflow. By calculating motion degree independently and using it as a control parameter to determine processing paths (compensation vs. selection), the system isolates the motion problem from the HDR synthesis process, allowing targeted handling of motion artifacts without affecting dynamic range information acquisition
2Reliability
If motion compensation is performed on images with high degree of freedom of motion, then image quality can be maintained, but processing complexity and computational load increase significantly
Solution Approach 1:
The patent implements a dynamic processing framework where the motion compensation approach is adaptively selected based on calculated motion degree. When motion is within acceptable thresholds, full compensation processing is applied; when motion exceeds thresholds, the system switches to selective image output. This dynamic adaptation reduces unnecessary processing complexity while maintaining image quality for varying motion conditions
Solution Approach 2:
The patent applies different processing strategies to different motion scenarios rather than uniformly processing all images. By analyzing motion degree locally for each image pair and applying appropriate compensation or selection methods accordingly, the system optimizes processing complexity by avoiding over-processing of images with acceptable motion while providing targeted compensation where needed
3Device complexity
If conventional motion processing schemes are used, then processing simplicity is maintained, but clear HDR images cannot be obtained in dynamic environments with high degree of freedom of motion
Solution Approach 1:
The patent introduces a feedback mechanism where motion degree calculation results directly control the subsequent processing path. The calculated motion degree feeds back to the control unit, which automatically selects between compensation processing and selective output based on whether motion exceeds reference values. This feedback loop enables the system to automatically adapt processing complexity to actual motion conditions, obtaining clear HDR images in dynamic environments without manual intervention
Data Source
AI summary
Disclosed is an apparatus and method for obtaining a motion adaptive high dynamic range image, in which a motion degree of a first image and a second taken using different exposure times is calculated. The motion calculation intensity is adjusted based on the calculated motion degree. The motion compensation intensity involves a global motion compensation and/or a location motion compensation. Images subjected to compensation are synthesized and output, so that an image having high dynamic range is obtained.