Astro-Lapse Frame Fusion With Dynamic Exposure and Focus
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Solution Overview
Problem
Conventional astrophotography and astro-videography techniques lack dynamic scene adaptation, require manual post-processing, and are inefficient in real-time exposure and focus adjustments, leading to undesirable video quality and time-consuming editing processes.
Innovation Solution
A method and system for generating astro-lapse videos that dynamically adjust exposure and focus during capture, using a user device to determine regions with suboptimal exposure and focus, apply correction weights based on cloud categories and density, and fuse frames to improve image quality in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional hyper-lapse mode with high exposure times is used to capture astro-videos, then the video quality may be adequate with static camera positioning, but dynamic adaptation to changing scenes is not possible and manual post-processing is required
Solution Approach 1:
The system dynamically adjusts exposure time and focus settings during the astro-video capture process based on real-time analysis of each frame. The processor evaluates scene brightness, star visibility, and focus quality metrics, then automatically modifies capture parameters for subsequent frames without requiring manual intervention or post-processing.
Solution Approach 2:
The system implements a feedback loop where each captured frame is analyzed by the processor to determine scene conditions, and this information feeds back into automatic adjustment of exposure and focus settings for the next frame. This closed-loop control enables continuous optimization of video quality during capture.
2Extent of automation
If multiple images are captured automatically with intervalometer, then the capturing process is automated, but time-consuming manual post-processing is still required for quality improvement
Solution Approach 1:
The system performs self-service by automatically analyzing captured frames and applying necessary corrections during the capture process itself. The processor identifies underexposed or out-of-focus regions and automatically adjusts settings to correct these issues in real-time, eliminating the need for separate manual post-processing steps.
Solution Approach 2:
The useful action of image quality improvement is made continuous by integrating exposure and focus adjustments directly into the capture process. Rather than capturing all frames first and then processing them separately, the system continuously optimizes each frame as it is captured, maintaining uninterrupted quality enhancement throughout the recording.
3Illumination intensity
If high exposure times are used to capture celestial bodies, then the brightness of stars is improved, but camera stability requirements increase leading to tripod dependency
Solution Approach 1:
The system changes exposure parameters dynamically on a per-frame basis rather than using consistently high exposure times. By adjusting exposure duration based on real-time scene analysis, the system achieves adequate star brightness without requiring the sustained high exposure levels that would necessitate tripod usage.
Data Source
AI summary
A method (1300) and system (201) for generating an astro-lapse video on a user device is disclosed. Initially, at least one current frame comprising one or more stars, is captured via the user device. Further, region(s) with a degree of exposure and focus greater or less than a predefined threshold are determined and a set of subsequent frames including the stars are captured. The exposure and focus of region(s) in the subsequent frames is corrected during the capturing based on degree of exposure and focus of the region(s) within the current frame. Further, fusion weights of the current and subsequent frames are determined based on one or more cloud categories and associated cloud density scores. Finally, an astro-lapse video is generated by fusing the at least one current frame and the set of subsequent frames based on the determined fusion weights.