Smartphone Image Composition via Sequential Area Replacement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The quality of images captured by smartphone cameras is lower compared to professional cameras, necessitating improved image processing techniques.
Innovation Solution
A computer-implemented image composition method that allows users to select a base image and replace specific areas with corresponding content from other sequential images, iteratively improving the image quality by swapping content until the user is satisfied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If picture rendering processes such as color adjustment with filters are applied to each picture, then image quality is improved, but processing time and complexity increase
Solution Approach 1:
The system performs preliminary actions by capturing multiple sequential images in advance and pre-processing them (e.g., applying filters, adjusting colors) before the user needs to select the best image. This allows the user to quickly review pre-processed images and make selections without waiting for time-consuming processing during the selection phase.
Solution Approach 2:
The image processing workflow is segmented into distinct phases: (1) sequential image capture, (2) independent pre-processing of each image with different parameters, (3) user review and selection, and (4) final output. This segmentation allows parallel processing of multiple images with different rendering parameters, improving overall efficiency while maintaining quality.
2Manufacturing precision
If multiple sequential images are captured and processed to improve quality, then image quality improves, but device complexity and processing requirements increase
Solution Approach 1:
The system applies partial processing by selectively rendering only certain images with enhanced processing while keeping others as reference images. Not all sequential images undergo the same level of processing - some are processed with filters, others with color adjustments, and some remain unprocessed for comparison. This reduces overall processing complexity while still achieving quality improvement in the final selected image.
Solution Approach 2:
The system enables user self-service by providing an intuitive interface where users can review multiple pre-processed images and select the best one themselves. The automatic selection based on user feedback creates a self-optimizing system that adapts to user preferences without requiring complex automated decision-making algorithms.
Data Source
AI summary
A computer-implemented image composition method and apparatus, wherein, after a user selects a base image from a plurality of sequential images, and specifies an area to be modified, the content of the specified area in the base image is replaced with the content of a corresponding area in the remaining images one by one, and the base image after the replacement is output for a user's previewing and determination. It is possible to improve the quality of the images sequentially captured by applying the present disclosure.