Night Shot Mode Processing for Mobile Image Stabilization
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Solution Overview
Problem
Existing mobile terminals struggle with capturing clear images in low-light conditions and when users shake during photography, as they rely on automatic modes that often result in poor photo quality due to insufficient user understanding of photography parameters.
Innovation Solution
A mobile terminal method that determines the photographing mode based on the user's status (handheld or tripod) and scene (light source or dark), adjusts exposure parameters to optimize image capture, and performs synthesis processing on multiple frames to improve image quality and dynamic range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic photographing mode is used, then ease of operation is improved, but image quality deteriorates in low-light conditions and when shaking occurs
Solution Approach 1:
The system automatically detects photographing conditions (handheld/tripod state, light source/dark scene) and self-adjusts exposure parameters without user intervention. The mobile terminal performs autonomous decision-making to select appropriate exposure parameters based on real-time condition detection, enabling the system to serve itself in optimizing photographing parameters.
Solution Approach 2:
The system dynamically changes exposure parameters (exposure time, aperture, ISO sensitivity) based on detected photographing conditions. When transitioning between handheld/tripod states or light source/dark scenes, the system adjusts multiple exposure parameters simultaneously to optimize image quality for the current condition while maintaining ease of operation.
2Illumination intensity
If exposure time is increased to capture more light, then image brightness is improved, but image stability deteriorates due to shaking
Solution Approach 1:
The system dynamically adjusts exposure parameters based on real-time detection of photographing conditions. When handheld shaking is detected, the system dynamically reduces exposure time to maintain stability; when tripod stability is detected, the system dynamically increases exposure time to improve brightness. This dynamic adaptation resolves the contradiction between brightness and stability.
Solution Approach 2:
The system uses feedback from condition detection (accelerometer for shaking, light sensor for brightness) to continuously adjust exposure parameters. The detection unit provides real-time feedback about photographing conditions, and the processing unit uses this feedback to select optimal exposure parameters that balance brightness and stability requirements.
Data Source
AI summary
In a night shot mode, a photo is captured and processed based on a plurality of frames. The plurality of frames is obtained based on a plurality of parameters including an exposure duration, a light sensitivity, and a number of frames. These parameters are determined based on factors, such as whether the electronic device is in a handheld state or not, and whether the current photographing scene is a dark scene or a light source scene.


