Camera Dithering Detection and Parameter Adjustment
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Solution Overview
Problem
Cameras often produce blurred images due to dithering, especially in low-light conditions, as they require low shutter speeds to improve illumination, leading to poor photo quality.
Innovation Solution
A photographing method and apparatus that detect dithering through sensors, adjust parameters such as shutter speed, photosensitivity, and aperture value, and enable automatic stabilization to prevent blurring, optimizing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If shutter speed is reduced to improve illumination in low-light conditions, then image brightness is improved, but image clarity deteriorates due to dithering and blur
Solution Approach 1:
The system performs preliminary detection of dithering amplitude through sensors before capturing the image. Based on this advance detection, it proactively adjusts shutter speed and enables stabilization functions in advance, preventing dithering-induced blur before it occurs during the actual photo capture moment
Solution Approach 2:
The system continuously monitors dithering amplitude through sensors and uses this real-time feedback to dynamically adjust shooting parameters such as shutter speed and stabilization activation. This closed-loop feedback mechanism allows the camera to adapt to changing hand-stability conditions and maintain optimal image quality
2Manufacturing precision
If shutter speed is increased to prevent dithering blur, then image clarity is improved, but image brightness deteriorates
Solution Approach 1:
The system dynamically adjusts shutter speed based on real-time dithering detection rather than using fixed settings. When dithering amplitude is low, it allows slower shutter speeds for better brightness; when dithering amplitude is high, it increases shutter speed to prevent blur, creating an adaptive dynamic balance between brightness and clarity
Solution Approach 2:
The system changes multiple parameters simultaneously - adjusting shutter speed based on dithering amplitude and dynamically enabling/disabling stabilization functions. This multi-parameter adjustment strategy allows optimal trade-off between exposure time and image stability under varying conditions
3Manufacturing precision
If automatic stabilization function is enabled to prevent dithering, then image clarity is improved, but device complexity increases
Solution Approach 1:
The system uses the device's existing sensors (accelerometer, gyroscope) that are already present for other functions to detect dithering amplitude. This self-service approach leverages existing hardware resources to provide stabilization control without adding dedicated complex stabilization components
Solution Approach 2:
The system replaces complex mechanical stabilization mechanisms with software-based control that processes sensor data and adjusts shooting parameters algorithmically. This substitution reduces mechanical complexity while achieving stabilization through intelligent parameter adjustment
Data Source
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AI summary
The present disclosure relates to a photographing method and a photographing apparatus, pertaining to the field of image processing. The method includes: judging whether dithering is present in response to an operation of pressing a shutter of a photographing device; determining a target configuration parameter according to a current processing mode of the photographing device if dithering is present; and adjusting the target configuration parameter. According to the present disclosure, during photographing, it is judged whether dithering is present, a target configuration parameter is determined according to a current processing mode if dithering is present, and the target configuration parameter is adjusted. This prevents blurred image of the photo due to dithering of the photographing device, improves photograph quality, and enhances photographing success rate of the photographing device.