Mobile Terminal Image Selection Using Acceleration Thresholds
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Solution Overview
Problem
Mobile terminals struggle to capture clear images due to camera shake during multi-frame denoising processing, resulting in increased noise and reduced image quality, as existing methods fail to accurately select images that meet denoising conditions.
Innovation Solution
The method involves determining whether the acceleration value of the mobile terminal during image capture is below a preset threshold using a gyroscope, allowing for rapid and accurate selection of images suitable for multi-frame denoising processing, thereby reducing noise and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multi-frame denoising processing is performed on images captured by mobile terminal, then image noise is reduced, but camera shake causes deviation in shot objects resulting in increased noise and reduced image quality
Solution Approach 1:
The patent applies preliminary action by detecting camera shake (acceleration) before image capture and using this information to select appropriate images for multi-frame denoising processing. The system determines acceleration values at the capturing time of each image, compares them against thresholds, and pre-selects stable images before performing denoising, thus preventing shake-induced noise from degrading image quality.
2Measurement precision
If acceleration threshold screening is applied to select images for multi-frame denoising, then image selection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent employs parameter changes by using acceleration values as a selection criterion and comparing them against threshold values. The system changes the parameter being monitored from simple capture timing to acceleration-based stability measurement, enabling accurate identification of shake-free images while maintaining relatively simple processing through threshold comparison.
3Manufacturing precision
If multiple images are captured for multi-frame denoising, then noise reduction effect is enhanced, but time consumption increases
Solution Approach 1:
The patent applies the taking out principle by extracting only the stable images from the captured sequence based on acceleration analysis. Instead of processing all captured images, the system identifies and extracts only those images taken during stable periods (when acceleration is below thresholds), thereby reducing the number of images requiring denoising processing while maintaining the noise reduction benefit of multi-frame processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively screens out images with minimal shake, enabling better noise reduction and improved image synthesis by ensuring only stable images are processed, leading to enhanced display effects in multi-frame denoising.
Implementation Method 1
determining whether the acceleration value of the mobile terminal during image capture is below a preset threshold using a gyroscope
Data Source
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AI summary
Disclosed in embodiments of the present invention are an image selection method and a related product. The image selection method is applied to a mobile terminal containing a camera. The image selection method comprises: obtaining image information corresponding to a first image, the image information corresponding to the first image comprising a first acceleration value of the mobile terminal when the camera captures the first image, and the first image being any one of at least two images captured by the camera continuously; determining whether the first acceleration value is less than a preset acceleration threshold; and if yes, determining that the first image meets a multi-frame noise reduction processing condition. According to the embodiments of the present invention, an image meeting a multi-frame noise reduction processing condition can be quickly and accurately selected.