Quad Bayer Image Processing for High-Zoom Definition
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Solution Overview
Problem
In high-zoom ratio shooting scenes, existing image processing methods result in a loss of image definition, leading to poor image quality and a degraded user experience.
Innovation Solution
An image processing method utilizing a Quad Bayer image sensor that switches between non-binning and binning modes based on zoom ratio and environmental illuminance, employing Quadra raw data for post-processing to enhance image definition and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image output is performed in a binning mode in high-zoom ratio shooting scenes, then the shooting function can be implemented, but image definition is lost resulting in poor image quality
Solution Approach 1:
The patent dynamically switches between binning mode and non-binning mode based on the zoom ratio. When the zoom ratio exceeds a threshold, the system transitions from binning mode to non-binning mode to preserve image definition. This dynamic adaptation resolves the contradiction by adjusting the processing mode according to shooting conditions, maintaining both shooting functionality and image quality.
Solution Approach 2:
The patent changes the processing parameter (binning vs. non-binning mode) based on the zoom ratio parameter. By monitoring the zoom ratio and adjusting the image processing mode accordingly, the system optimizes image definition while maintaining shooting adaptability across different zoom levels.
2Manufacturing precision
If non-binning mode is used in high-zoom ratio scenes, then image definition is improved, but more processing resources are required
Solution Approach 1:
The patent changes the processing mode parameter based on the zoom ratio threshold. By switching to non-binning mode only when necessary (high zoom ratio), the system improves image definition while avoiding unnecessary energy consumption in normal shooting scenarios.
Solution Approach 2:
The patent applies different processing qualities to different shooting scenarios. Non-binning mode (higher quality processing) is applied locally to high-zoom ratio scenes, while binning mode (lower resource consumption) is used for other scenarios, optimizing the balance between image quality and energy usage.
3Manufacturing precision
If Quadra raw data processing is implemented, then image quality is enhanced, but processing complexity increases
Solution Approach 1:
The patent dynamically activates Quadra raw data processing only when the zoom ratio exceeds the threshold. This conditional processing reduces overall system complexity by enabling complex processing only when needed, while maintaining simple processing for normal scenarios.
Solution Approach 2:
The patent applies enhanced Quadra raw data processing locally to high-zoom ratio scenes where image quality is most critical, rather than applying it universally. This selective approach enhances image quality where needed while minimizing processing complexity elsewhere.
Data Source
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AI summary
Disclosed are an image processing method and an electronic device, applied to the field of image processing technologies. The method includes: turning on a camera; obtaining a zoom ratio and an environmental illuminance in a current photographing environment; and performing photographing in a first mode when the zoom ratio is greater than or equal to a first ratio and the environmental illuminance is greater than or equal to a first luminance threshold, where in the first mode, the camera is configured to: process an acquired image signal in a non-binning mode and in a cropping manner, to output first image data, where a first image format is used for the first image data. In this way, definition of an image in a high-ratio shooting scene can be improved, which helps to improve shooting experience of a user.