Image Processing Apparatus for Album Layout Quality Preservation
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Solution Overview
Problem
When editing images for album creation, the edited images may lose their desired finished quality due to changes in composition or resolution, leading to a loss of the original image's quality and aesthetics.
Innovation Solution
An image processing apparatus and method that analyzes model and candidate images, selects similar images based on analysis information, and adjusts editing processes to maintain the desired quality by evaluating and modifying the layout, including trimming, resizing, and reselecting images to ensure they fit the template without compromising resolution or main subject integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If images are edited to fit album templates, then layout consistency is improved, but image quality and aesthetic integrity deteriorate
Solution Approach 1:
The system performs preliminary analysis of candidate images to identify similar images before the editing process. By pre-selecting images with similar characteristics to the model image, the system prepares the foundation for quality-preserving editing, avoiding the need for extensive post-editing adjustments that would compromise image quality.
Solution Approach 2:
The system changes editing parameters dynamically based on the similarity between candidate images and the model image. For highly similar images, minimal editing parameters are applied, while for less similar images, more aggressive editing parameters are used. This adaptive parameter adjustment maintains image quality while achieving layout consistency.
2Adaptability or versatility
If image editing is applied to match template requirements, then adaptability to template is improved, but original image characteristics are lost
Solution Approach 1:
The system implements feedback mechanisms where the similarity between candidate images and the model image is continuously evaluated. Based on this feedback, the system adjusts the degree and type of editing applied, ensuring that original image characteristics are preserved while achieving necessary template adaptability. The evaluation results feed back into the editing parameter selection process.
Solution Approach 2:
The system applies different editing strategies to different regions of images based on their similarity to the model image. For regions with high similarity, minimal local adjustments are made to preserve original characteristics. For regions with lower similarity, more significant local editing is applied to achieve template adaptability, thus maintaining original quality where possible while ensuring overall adaptability.
3Stability of the object's composition
If extensive editing is performed on candidate images, then layout matching is improved, but processing time increases
Solution Approach 1:
The system performs preliminary similarity analysis and image selection before the main editing and layout matching process. By pre-identifying the most suitable candidate images based on their similarity to the model image, the system reduces the number of images requiring extensive editing, thereby significantly reducing overall processing time while maintaining layout matching quality.
Solution Approach 2:
The system applies partial editing actions only to the extent necessary for achieving layout matching. Based on the similarity evaluation, the system determines the minimum required editing for each candidate image, avoiding excessive editing that would waste processing time. This selective partial action optimizes the balance between layout matching and processing efficiency.
Data Source
AI summary
An album creating app obtains album data on a model album serving as an example, a candidate image group used to create an album, and analysis information on a model image in the model album and on each of the candidate image group. The album creating app has a similar image selecting unit that selects a similar image similar to the model image from the candidate image group based on the analysis information, a spread layout creating unit that creates a layout according to a template in the album data by placing the similar image in the slot where the model image corresponding to the similar image is placed, a layout evaluating unit that evaluates the layout created, and a processing changing unit that changes, based on the evaluation result, the type of editing performed on the similar image to place the similar image into the slot.