Image Generator Reference Region Update for Camera Shake
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Solution Overview
Problem
Digital cameras face challenges in generating clear images due to camera shake during long exposure periods, which can result in blurred images due to the finite sensitivity of light-sensitive elements.
Innovation Solution
A method and image generator that receive and process images by defining reference regions of interest within a first image, updating the reference image based on content and spatial relationships with a second image, including up-scaling and noise compensation to correct for shifts and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If long exposure periods are used to capture sufficient light, then image brightness is improved, but image stability deteriorates due to camera shake
Solution Approach 1:
The patent divides the image processing into multiple exposure periods, capturing separate images during different time intervals. By segmenting the exposure into multiple shorter periods rather than one long exposure, the system reduces camera shake impact while maintaining sufficient light capture through aggregation of multiple images.
Solution Approach 2:
The system performs preliminary actions by capturing multiple images during different exposure periods before final image generation. Reference images are captured and processed in advance to establish spatial relationships and regions of interest, which are then used to guide the generation of the final aggregated image.
2Manufacturing precision
If multiple images are processed to reduce blur, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by identifying and processing regions of interest within images. Instead of uniformly processing entire images, the system focuses computational resources on specific regions that contain relevant spatial information, reducing overall processing complexity while maintaining image quality.
Solution Approach 2:
The system performs partial action by processing only necessary portions of images. It identifies regions of interest and processes those specific areas rather than entire images, reducing computational burden. The patent also uses a limited number of reference images and regions to establish spatial relationships, avoiding excessive processing.
Data Source
AI summary
An image is generated by receiving a first image that is acquired during a first exposure period and defining the first image as a reference image; defining multiple reference regions of interest within the reference image, wherein an aggregate number of pixels within the multiple reference regions of interest is substantially smaller than a number of pixels of the first image; receiving a second image that is acquired during a second exposure period; and updating the reference image in response to a content of the reference image, content of the second image and a first type of spatial relationship (e.g., a shift) defined between the reference image and the second image, wherein the shift is defined in response to multiple spatial relationships between the multiple reference regions of interest and between multiple regions of interest of the second image.