Automatic HDR Mode Triggering via Image Frame Similarity Analysis
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Solution Overview
Problem
Users currently manually enable high-dynamic range mode in image photographing apparatuses, leading to increased user operation and a lack of intelligent triggering, which hampers the realization of intelligent photographing effects due to the absence of an effective automatic mechanism.
Innovation Solution
A method and apparatus that acquire consecutive image frames, determine similarity between them, and set the photographing mode to high-dynamic range mode if the frames do not have sufficient similarity, using modules for image acquisition, similarity determination, and mode setting to automatically trigger the high-dynamic range mode based on preset thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual enabling of high-dynamic range mode is used, then user control over photographing mode is maintained, but user operation frequency increases and intelligent photographing is hampered
Solution Approach 1:
The system performs self-service by automatically detecting scene characteristics and determining whether to enable high-dynamic range mode without user intervention. The photographing apparatus analyzes image data and autonomously switches modes based on detected lighting conditions and subject characteristics.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring image data and comparing it against predetermined criteria to determine when high-dynamic range mode should be activated. The detection results feed back into the mode selection process, enabling intelligent adaptation to changing photographing conditions.
2Device complexity
If high-dynamic range mode is enabled without detection mechanism, then mode switching is simple, but detection accuracy and timing precision are insufficient leading to ghost images
Solution Approach 1:
The system performs preliminary detection of scene characteristics before enabling high-dynamic range mode. By analyzing image data in advance and comparing it against predetermined criteria, the system determines the appropriate mode before actual photographing occurs, preventing ghost images and ensuring optimal image quality.
3Measurement precision
If continuous image frames are analyzed for similarity, then accurate timing for mode switching is achieved, but processing complexity increases
Solution Approach 1:
The system applies partial action by analyzing only the necessary number of consecutive image frames to determine similarity and trigger mode switching. Rather than processing all possible image data, the system uses a predetermined threshold and limited frame analysis to achieve accurate timing while controlling processing complexity.
Data Source
AI summary
A photographing mode determination method and apparatus, and an electronic device and a storage medium are provided. The method comprises: acquiring at least two consecutive frames of images photographed by an image photographing apparatus; determining whether there are two frames of images having a similarity less than a preset threshold value in the at least two consecutive frames of images; and if two frames of images having a similarity less than the preset threshold value are not present in the at least two consecutive frames of images, setting a photographing mode of the image photographing apparatus to be a high-dynamic range mode.