Digital Image Acquisition System Portrait Mode Background Blur
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Solution Overview
Problem
Digital cameras often capture portrait images with a sharp background, making it difficult to emphasize the foreground object, as the depth of field is larger than conventional cameras, and existing solutions require manual image processing to blur the background, which is time-consuming.
Innovation Solution
A digital image acquisition system that captures three images of the same scene – one in-focus with flash, one in-focus without flash, and one blurred – to determine foreground and background regions, allowing the blurred background to be substituted for the in-focus image, using a processor to analyze and process these images for efficient background blurring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple images are captured and processed to create a blurred background, then the portrait quality is improved, but the processing time and complexity increase
Solution Approach 1:
The system captures multiple images (with and without flash) in advance during the image acquisition phase, preparing the necessary image data before the actual portrait generation is needed. This preliminary capture of varied exposure images enables subsequent automated processing without requiring manual retakes or extensive post-capture adjustments.
Solution Approach 2:
The processor automatically analyzes the captured images, determines foreground and background regions, and performs the background substitution operation without requiring manual intervention. The system serves itself by autonomously completing the entire portrait generation workflow from raw image capture to final blurred background composition.
2Manufacturing precision
If manual image processing is used to blur the background, then the portrait effect is achieved, but the operation complexity increases
Solution Approach 1:
The processor autonomously performs all image analysis and background substitution operations without requiring manual guidance. The system automatically identifies foreground objects, segments background regions, and executes the blur effect application, eliminating the need for user intervention in complex processing steps.
Solution Approach 2:
The patent replaces manual mechanical image processing operations with automated electronic processing. Instead of requiring users to manually adjust parameters or guide the processing workflow, the system uses electronic algorithms to automatically analyze images and generate the final portrait with blurred background.
3Measurement precision
If the background is kept in sharp focus, then the image clarity is improved, but the foreground emphasis is reduced
Solution Approach 1:
The system applies different quality characteristics to different regions of the image: the foreground object maintains sharp focus and high clarity, while the background region is intentionally blurred. This local differentiation of image quality achieves both objectives - the foreground remains emphasized and clear, while the background provides artistic softening without competing for attention.
Solution Approach 2:
The processor segments the image into distinct foreground and background regions, allowing independent processing of each area. By separating the image content into these functional zones, the system can apply appropriate processing - maintaining sharpness in the foreground while applying blur to the background - to achieve the desired portrait effect.
Data Source
AI summary
A digital image acquisition system having no photographic film comprises an apparatus for capturing digital images and a flash unit for providing illumination during image capture. The system has a portrait mode for generating an image of a foreground object against a blurred background, the portrait mode being operable to capture first, second and third images (A, B and C) of nominally the same scene. One of the first and second images (A, B) is taken with flash and the other is taken without flash, and the third image (C) is blurred compared to the first and second images. The portrait mode is further operable to determine foreground and background regions of the scene using the first and second images (A, B), and to substitute the blurred background of the third image (C) for the background of an in-focus image of the scene. In one embodiment the in-focus image is one of the first and second images. In another embodiment the in-focus image is a fourth image.