Image Processing Apparatus for Depth of Field Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing methods, such as focus bracketing capturing, often fail to determine the user's desired depth of field when multiple images with different depths of field are acquired, making it difficult to select the appropriate image.
Innovation Solution
An image processing apparatus and method that acquires multiple images with different depths of field, allows user designation of an object area, presents at least two candidate images based on depth of field and object distance, and enables user selection of the desired image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple images with different depths of field are acquired through focus bracketing capturing, then the availability of focused images for different areas is improved, but the difficulty of determining the user's desired image increases
Solution Approach 1:
The system calculates an evaluation value for each candidate image based on the user-designated area and depth of field characteristics, then presents images in order of evaluation. This feedback mechanism allows the user to see which images are most likely to match their preferences without having to manually assess all images, thus resolving the contradiction between having multiple focused images and determining which one the user wants.
Solution Approach 2:
The system changes the parameter of image presentation by sorting and selecting candidate images based on calculated evaluation values that consider depth of field and designated area. Instead of presenting all images equally, the system transforms the presentation based on quantitative parameters, making it easier for users to find their desired image among multiple candidates.
2Measurement precision
If an image selection system presents multiple candidate images to the user, then the accuracy of user preference determination is improved, but the complexity of the selection process increases
Solution Approach 1:
The system performs preliminary calculations of evaluation values for all candidate images before presenting them to the user. By pre-calculating which images are most likely to match user preferences based on depth of field and designated area, the system reduces the user's selection burden while maintaining high accuracy in determining user preference.
Solution Approach 2:
The evaluation value calculation acts as an intermediary between the multiple candidate images and the user's final selection. This intermediary process objectively assesses each image's suitability based on technical parameters, bridging the gap between having many candidates and making a precise selection without requiring complex user analysis.
Data Source
AI summary
An image processing apparatus includes: an image acquisition unit configured to acquire a plurality of images having different depths of field for an object; a designation unit configured to instruct a user to designate an area of the object; a presentation unit configured to present at least two candidate images from the plurality of images based on the depths of field and an object distance of the area; and a selection unit configured to instruct the user to select an image from the candidate images.