High-Zoom Camera Processing With Non-Binning Cropping
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Solution Overview
Problem
In high-zoom ratio shooting scenes, image definition is lost due to binning mode output, leading to poor image quality and user experience.
Innovation Solution
Implement an image processing method that switches to non-binning mode with cropping for high-zoom and high-illuminance scenes, using quadra raw format for image data, and employs post-processing algorithms to improve image definition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binning mode is used for image output in high-zoom ratio scenes, then the camera can capture images, but image definition is lost and image quality deteriorates
Solution Approach 1:
The patent changes the operating parameter of the camera from binning mode to non-binning mode specifically for high-zoom ratio scenes (zoom ratio >= 2x). This parameter change resolves the contradiction by eliminating the image definition loss caused by binning while maintaining operational capability through conditional mode switching based on zoom ratio and illuminance levels.
2Measurement precision
If non-binning mode with cropping is used for high-zoom ratio and high-illuminance scenes, then image definition is improved, but processing complexity increases
Solution Approach 1:
The patent implements dynamic mode switching that adapts the processing pipeline based on real-time conditions (zoom ratio and environmental illuminance). The system dynamically selects between binning and non-binning modes, and between different post-processing algorithms (Remosaic, Cropping, or both), resolving the complexity issue through conditional logic rather than fixed complex processing for all scenarios.
Solution Approach 2:
The patent applies different processing qualities to different shooting scenarios. For high-zoom and high-illuminance scenes, it uses the more complex non-binning mode with Cropping/Remosaic processing to achieve superior image definition. For other scenarios, it uses simpler binning mode processing. This local optimization resolves the contradiction by applying complexity only where it provides necessary benefits.
3Reliability
If quadra raw format is used for image data in non-binning mode, then image quality is maintained, but data processing requirements increase
Solution Approach 1:
The patent performs image processing operations (Remosaic and/or Cropping) on the quadra raw data before final image output. By preliminarily processing the high-quality raw data through specific algorithms tailored to the shooting conditions, the system maintains image quality while managing data processing requirements through targeted preprocessing rather than handling raw data throughout the entire pipeline.
Data Source
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.