Multi-Parameter Image Capture for Post-Capture Algorithm Selection
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Solution Overview
Problem
Existing image capturing devices require users to select image processing algorithms before capturing images, making them more complex to use, especially in varying lighting and imaging conditions, as users need to understand multiple algorithms and their effects.
Innovation Solution
An apparatus and method that automatically detect inputs, such as user selections or physical conditions, to capture multiple images with different parameters for various image processing algorithms, allowing for automatic or user-driven processing after capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users select image processing algorithms before capturing images, then high quality images can be obtained in different lighting and imaging conditions, but the apparatus becomes more difficult for users to use
Solution Approach 1:
The system performs preliminary actions by automatically capturing multiple images with different parameters (such as different exposures, focus settings, or flash configurations) before the user needs to make any algorithm selection. This preliminary capture of diverse image data eliminates the need for users to understand or select between complex algorithms later, while still enabling high-quality image processing through subsequent automated algorithm selection based on the captured images
2Reliability
If multiple image processing algorithms are made available, then high quality images can be obtained in different lighting and imaging conditions, but the device complexity increases
Solution Approach 1:
The system implements self-service by automatically selecting and applying the appropriate image processing algorithm based on the captured images and detected physical conditions. The apparatus serves itself by evaluating the captured images against multiple algorithm options and automatically choosing the best match, eliminating the need for user intervention in algorithm selection while maintaining access to multiple processing algorithms for optimal image quality
3Reliability
If users need to understand multiple algorithms and their effects, then high quality images can be obtained, but the ease of operation decreases
Solution Approach 1:
The system extracts the complex algorithm selection task from the user's responsibilities and transfers it to the automated system. By taking out the need for user understanding of multiple algorithms and implementing automatic algorithm selection based on captured images and physical conditions, the system maintains high image quality while significantly reducing the operational burden and knowledge requirements for users
Data Source
AI summary
The Figures illustrate an apparatus, method, computer program and apparatus wherein the method includes detecting an input; and in response to detecting the input, causing an image capturing apparatus to capture a plurality of images; wherein the image capturing apparatus is configured to have a first set of parameters to capture a first subset of the plurality of images such that the first subset of the plurality of images are configured for use with a first image processing algorithm and the image capturing apparatus is configured to have a second set of parameters to capture a second subset of the plurality of images such that the second subset of the plurality of images are configured for use with a second image processing algorithm.