Image Capture System Using Pre-Captured Scene Lighting
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Solution Overview
Problem
Travelers often face challenges in capturing ideal images of scenes due to unfavorable weather conditions, and existing image processing techniques cannot restore lost lighting information effectively, limiting the quality of the final image.
Innovation Solution
A method and system that determine scene information from an initial image, acquire a second image from a repository with preferred conditions, adjust light parameters, and generate a combined image with the subject relit to match the second image's lighting, effectively creating an ideal image with the subject in the original scene's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If travelers wait for preferred image capturing conditions, then image quality improves, but time consumption increases and travel opportunities are limited
Solution Approach 1:
The system performs preliminary actions by capturing multiple images of the same scene under different lighting and weather conditions before the user needs them. These pre-captured images are stored in a repository and can be quickly retrieved and combined with the user's subject image, eliminating the need for the user to wait for ideal conditions during their actual visit.
Solution Approach 2:
The system creates copies of the scene captured under ideal conditions from a repository and combines them with the user's captured subject. Instead of requiring the user to capture the entire scene under perfect conditions, the system copies the background/scene portion from pre-captured images with ideal lighting and weather, merging it with the user's subject image.
2Manufacturing precision
If image processing manipulates color, brightness, and contrast, then image appearance improves, but lost lighting information cannot be restored
Solution Approach 1:
The system introduces an intermediary solution by using multiple pre-captured images of the same scene taken under different lighting conditions. Instead of trying to recover lost lighting information through processing, the system selects and blends appropriate lighting conditions from these intermediary images to reconstruct the scene with proper lighting information.
Solution Approach 2:
The system changes lighting parameters by selecting images captured under different lighting conditions (different times of day, weather conditions, times of year) and blending them. This allows the system to transform the lighting appearance of the final composite image without needing to recover the original lost lighting information from the user's captured image.
3Object-affected harmful factors
If infra-red technology is used to remove fog and clouds, then visibility improves, but image quality and color accuracy deteriorate
Solution Approach 1:
Instead of using infra-red technology to remove fog and clouds (which degrades visible light image quality), the system inverts the approach by capturing and blending multiple images taken under different visible light conditions. This allows the system to achieve clear visibility in the final composite image while maintaining color accuracy and image quality appropriate for visible light photography.
Data Source
AI summary
Systems and methods for generating an image determine scene information based on a first image of a scene, the first image including an image of a subject at a first position in the scene, and the first image information including a first field of view of the first image and a first capture location where the first image was captured, acquire a second image of the scene from a repository storing a plurality of images based on the scene information, the second image having a second field of view similar to the first field of view and a second capture location similar to the first capture location, adjust light parameters of the image of the subject based on the light parameters of the second image, and generate a combined image based on the second image and the image of the subject, the combined image including at least part of the second image, and the adjusted image of the subject at a position in the scene similar to the first position in the scene.