Dual-Camera Depth-of-Field Analysis for Automatic Background Blur
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Solution Overview
Problem
Current mobile terminal technologies require users to select a foreground region and set a blurring degree manually for generating a background blurred photo, which is inefficient and requires learning costs, making the photographing process cumbersome.
Innovation Solution
A method and device using a dual-camera device to determine depth-of-field information for foreground and background regions in a preview image, calculating a basic blurring degree, and applying a Gaussian blur process to the background region to generate a blurred image, simplifying the process without manual selection of regions or blurring degrees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of foreground region and blurring degree is required, then user control over photo effects is improved, but photographing efficiency and ease of operation deteriorate
Solution Approach 1:
The system automatically performs region segmentation and blurring parameter selection without requiring user intervention. The processor autonomously identifies foreground and background regions, calculates depth-of-field information, and determines appropriate blurring degrees, enabling the device to serve itself rather than requiring manual user configuration.
Solution Approach 2:
The system dynamically adjusts blurring parameters based on automatically calculated depth-of-field information. By changing the blurring degree parameter according to the computed depth values of different regions, the system adapts the photo effect parameters automatically, eliminating the need for manual parameter setting while maintaining control over the final image quality.
2Device complexity
If automatic depth-of-field calculation is performed, then photographing process simplicity is improved, but processing time and computational complexity worsen
Solution Approach 1:
The system performs depth-of-field calculation and region segmentation automatically during the photographing process itself, rather than requiring preliminary manual setup. By integrating the computational tasks into the automated workflow, the system prepares all necessary parameters in advance without adding perceptible delay to the user experience.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies the generation of background blurred images, increasing photographing efficiency and improving the user experience by automating the blurring process.
Implementation Method 1
determining, according to preview image data acquired via two rear cameras of a dual-camera device, first depth-of-field information for a foreground region and second depth-of-field information for a background region in a current preview image
Implementation Method 2
performing Gaussian blur process on the background region according to the basic value of the blurring degree to generate the blurred image
Data Source
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AI summary
The prevention invention provides a blurred photo generation method and apparatus, and a mobile terminal. The blurred photo generation method comprises the following steps: determining first depth-of-field information in a foreground region and second depth-of-field information in a background region of a current preview image according to preview image data separately obtained by two rear cameras in a dual-camera apparatus; acquiring a basic value of the blurring degree according to the first depth-of-field information and second depth-of-field information; and performing Gaussian blurring on the background region according to the basic value of the blurring degree to generate a blurred photo. The blurred photo generation method of the present invention can simplify the process of generating a background blurred photo during photographing and improve the photographing efficiency.