Image Capturing Apparatus Vibration Filtering
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Solution Overview
Problem
Conventional digital cameras suffer from inconsistent image quality due to hand vibrations, which are not effectively addressed by existing vibration reduction mechanisms, leading to blurred and low-quality output images.
Innovation Solution
An image capturing apparatus and method that captures multiple temporal images, selects a base image, and filters out images with significant differences using threshold values for geometric alignment and histogram analysis, then combines the remaining images to generate a clear output image, compensating brightness as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple exposure images are processed without filtering, then noise removal is performed on all images, but image quality becomes inconsistent and output quality decreases
Solution Approach 1:
The patent performs preliminary quality assessment of each captured image before combining them. By evaluating image quality metrics (such as focus accuracy, exposure level, and absence of motion blur) and comparing against reference images, the system identifies and excludes poor-quality images from the combination process, ensuring only high-quality images contribute to the final output
Solution Approach 2:
The patent extracts and removes low-quality images from the set of captured images before performing noise removal and combination. By filtering out images that do not meet quality thresholds, the system prevents poor-quality images from degrading the overall output quality while maintaining processing efficiency
2Object-affected harmful factors
If vibration reduction mechanisms are applied, then hand vibration effects are corrected, but blurred images are generated when no hand vibration occurs
Solution Approach 1:
The patent implements a dynamic image combination strategy that adapts to vibration conditions. The system captures multiple images at different time points and selectively combines them based on detected vibration levels and image quality metrics. When vibration is detected, the system adjusts combination weights and selection criteria to compensate for motion effects, while maintaining natural image quality when no vibration occurs
3Measurement precision
If geometric correction is applied to all images, then point-by-point combination is achieved, but processing time increases and quality decreases due to including poor images
Solution Approach 1:
The patent performs preliminary quality filtering and selection of candidate images before executing the computationally intensive geometric correction and combination processes. By pre-identifying high-quality images that meet alignment and quality criteria, the system reduces the number of images requiring full processing, thereby decreasing overall processing time while maintaining alignment accuracy
Solution Approach 2:
The patent applies different processing strategies to different images based on their individual quality characteristics. High-quality images undergo full geometric correction and are given higher weights in the combination, while lower-quality images are either lightly processed or excluded entirely, optimizing the balance between processing accuracy and computational efficiency
Data Source
AI summary
The present invention discloses an electronic apparatus, an image capturing apparatus and a method thereof. The image capturing method comprises the steps of: capturing a plurality of temporal images by an image capturing module; setting one of the temporal images as a base image by a processing module; determining whether the difference between the temporal images and the base image is over a predetermined range by the processing module; if yes, deleting the temporal image by the processing module; combining the else temporal images and the base image and correspondingly generating an output image.