Automated Image Synthesis via Pixel Feature Reference Values
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Solution Overview
Problem
Existing image processing methods for synthesizing videos or images with moving subjects are inaccurate and produce poor-quality results due to manual selection of regions and lack of automation in the image synthesis process.
Innovation Solution
An image processing method and apparatus that automatically synthesizes images by obtaining multiple images with the same pixel arrangement, determining a reference value based on feature values at corresponding locations, and generating a target image using these reference values, thereby eliminating the need for manual selection and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of kept region is used by user, then operation simplicity is maintained, but accuracy of selected region deteriorates
Solution Approach 1:
The system performs automatic region selection and image synthesis without requiring user intervention. The processing apparatus autonomously identifies the moving subject, determines the kept region, and synthesizes the final image by combining the kept region with the base image, thereby eliminating manual selection operations while achieving high accuracy
Solution Approach 2:
The patent replaces the manual mechanical selection process with an automated image processing system that uses algorithms to identify moving subjects and determine kept regions. This substitution of manual operation with automated processing resolves the contradiction by maintaining ease of operation (no manual selection needed) while dramatically improving accuracy through computational methods
2Device complexity
If manual selection and synthesis method is used, then device complexity is reduced, but manufacturing precision of synthesized image deteriorates
Solution Approach 1:
The processing apparatus autonomously performs all image processing tasks including obtaining multiple images, determining kept regions through feature value analysis, and synthesizing the final image. This self-service automation improves synthesized image quality while the integrated design keeps the overall system complexity manageable
Solution Approach 2:
The patent changes the processing parameters from manual selection to automated analysis by calculating feature values of pixels at corresponding locations across multiple images. This parameter change enables precise identification of moving subjects and accurate determination of kept regions, thereby improving synthesized image quality while maintaining reasonable system complexity
3Productivity
If automatic image synthesis is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct functional modules: obtaining multiple images, determining kept regions through feature value comparison, and synthesizing the final image. This segmentation improves processing efficiency by enabling parallel and automated operations while managing system complexity through modular design
Solution Approach 2:
The processing apparatus automatically performs all image synthesis operations without user intervention, significantly improving productivity. The system self-manages the complex processes of feature value calculation, region determination, and image synthesis, thereby achieving high efficiency while containing complexity within the automated system
Data Source
AI summary
An image processing method. The method includes: An electronic device obtains N images, where the N images have a same quantity of pixels and a same pixel location arrangement, and N is an integer greater than 1; the electronic device obtains, based on feature values of pixels located at a same location in the N images, a reference value of the corresponding location; the electronic device determines a target pixel of each location based on a reference value of the location; and the electronic device generates a target image based on the target pixel of each location.