Kinetic Object Removal from Camera Preview Images
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Solution Overview
Problem
Existing digital cameras struggle to remove kinetic objects in real-time from preview images, requiring post-processing skills and time, especially in crowded areas, which can lead to unsatisfactory captured images.
Innovation Solution
A digital camera system that uses a frame filtering module to calculate median color values over multiple frames, filtering out transient changes caused by kinetic objects and displaying a preview image without them, allowing users to capture images without unwanted objects in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If post-processing software is used to remove unwanted objects from captured images, then image quality can be improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent applies preliminary action by performing object removal processing during the image capture phase rather than after capture. The processor identifies and removes kinetic objects from the captured image in real-time, allowing the user to obtain a clean image immediately without subsequent post-processing steps.
Solution Approach 2:
The system applies self-service by automatically detecting and removing unwanted kinetic objects from the captured image without requiring user intervention or manual editing. The processor autonomously identifies moving objects and reconstructs the image by filling in the regions where kinetic objects appeared, eliminating the need for manual post-processing.
2Manufacturing precision
If post-processing software is used to remove unwanted objects from captured images, then image quality can be improved, but operational skill requirements increase
Solution Approach 1:
The system applies self-service by automatically detecting and removing unwanted kinetic objects from the captured image without requiring user intervention or manual editing. The processor autonomously identifies moving objects and reconstructs the image by filling in the regions where kinetic objects appeared, eliminating the need for manual post-processing.
Solution Approach 2:
The patent replaces the manual mechanical process of post-processing editing with an automated computational system. The processor uses image processing algorithms to automatically identify kinetic objects and reconstruct the background, substituting manual editing operations with automated digital processing.
3Manufacturing precision
If photographers attempt to control the scene to avoid unwanted objects, then image quality can be improved, but adaptability to spontaneous situations decreases
Solution Approach 1:
The patent applies preliminary action by performing object removal processing during the image capture phase rather than after capture. The processor identifies and removes kinetic objects from the captured image in real-time, allowing the user to obtain a clean image immediately without subsequent post-processing steps.
Data Source
AI summary
A digital camera is configured to display a continually updated preview image of an observed scene, wherein kinetic objects that appear in the observed scene do not appear in the continually updated preview image. An observed scene includes static objects and kinetic objects. The observed scene is recorded using a digital imaging sensor which forms part of a smartphone. A live camera feed results, the live camera feed comprising a plurality of frames, each depicting the observed scene at a specific time. A median color value is evaluated over m non-consecutive frames captured from the live camera feed. The median color values are used to generate an output feed that is displayed at a reduced frame rate as compared to the live camera feed. The resulting displayed scene includes the same static objects which appeared in the observed scene, but does not include the kinetic objects.