Camera Output Mode Switching for HDR Zoom Ghosting
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Solution Overview
Problem
In high dynamic range shooting scenes, the ghosting problem occurs frequently in digital zoom, leading to poor image quality and a degraded user experience.
Innovation Solution
An image processing method that determines the image output manner of a camera based on the zoom ratio and dynamic range, employing dual conversion gain (DCG) mode for high dynamic ranges and binning mode for low dynamic ranges, along with additional modes like non-binning+cropping, to improve image quality and avoid ghosting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If multi-exposure fusion technology is used for shooting in high dynamic range scenes, then dynamic range is improved, but ghosting problem occurs frequently resulting in poor image quality
Solution Approach 1:
The patent dynamically adjusts the image output manner based on real-time detection of zoom ratio and dynamic range conditions. The system switches between DCG mode, binning mode, and non-binning+cropping mode according to the current shooting parameters, making the system adaptive rather than static. This dynamic adjustment resolves the contradiction by applying the appropriate mode for each specific condition, avoiding ghosting while maintaining dynamic range improvement where needed.
Solution Approach 2:
The patent changes key parameters including zoom ratio thresholds (first ratio and second ratio), dynamic range constraints (first DR constraint condition), and conversion gain settings. By adjusting these parameters based on shooting conditions, the system optimizes image quality while maintaining dynamic range performance. The parameter changes enable the system to avoid ghosting artifacts that occur with fixed multi-exposure fusion approaches.
2Adaptability or versatility
If digital zoom is used for cropping and zooming images, then shooting flexibility is improved, but ghosting problem occurs in high dynamic range scenes
Solution Approach 1:
The patent segments the shooting scenarios into distinct categories based on zoom ratio ranges (below first ratio, between first and second ratio, above second ratio) and dynamic range conditions. Each segment has a specifically optimized image output manner assigned to it. This segmentation allows the system to maintain shooting flexibility across different zoom levels while avoiding ghosting by applying the correct processing mode for each segment.
Solution Approach 2:
The patent introduces an intermediary decision-making mechanism that detects shooting parameters (zoom ratio, dynamic range) and determines the appropriate image output manner. This intermediary layer acts as a mediator between the digital zoom function and the image processing pipeline, ensuring that ghosting-free processing is applied while maintaining zoom flexibility. The intermediary evaluates conditions and selects the optimal mode (DCG, binning, or non-binning+cropping).
Data Source
AI summary
An image processing method and an electronic device are provided, applied to the field of image processing technologies. The method is applied to an electronic device. The electronic device includes a camera. The method includes: turning on the camera; obtaining a zoom ratio and a dynamic range of a current shooting scene; determining an image output manner of the camera based on the zoom ratio and the dynamic range; performing, by the camera, image output in a first mode when the zoom ratio is greater than or equal to a first ratio and less than a second ratio and the dynamic range meets a first dynamic range (DR) constraint condition; and performing image processing based on image data outputted by the camera. Image quality in a high dynamic shooting scene can be improved, and a ghosting problem can be avoided, so that shooting experience of a user is improved.


