Image-Based Print Layout Using Automatic Photo Quality Filtering
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Solution Overview
Problem
Existing methods for generating print products from digital images are inefficient and inconvenient, often requiring users to manually review and edit images for quality and placement, which can deter users and result in suboptimal print products due to reliance on image count rather than quality.
Innovation Solution
A system and method that automatically generates a print product offering by classifying digital images based on quality parameters such as sharpness, brightness, and file size, selecting high-quality images, and populating a pre-developed template for display, using an image organizing module on a photo lab computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually review and edit digital images for quality and placement, then print product quality can be ensured, but user time and effort are significantly increased
Solution Approach 1:
The system performs preliminary classification of digital images based on quality parameters (sharpness, brightness, color balance, etc.) before the user sees them. This pre-processing automatically identifies suitable images for the print product, so when users review images, only pre-filtered high-quality candidates are presented, dramatically reducing review time while maintaining quality standards
Solution Approach 2:
The image organizing module autonomously evaluates and categorizes uploaded digital images using automated quality assessment algorithms. The system self-determines which images meet the quality criteria for inclusion in print products without requiring manual user inspection, thereby eliminating the time-consuming manual review process while ensuring consistent quality application
2Manufacturing precision
If users manually select and sort digital images, then image placement can be optimized, but the process becomes tedious and may deter users
Solution Approach 1:
The system automatically sorts and sequences selected images based on quality metrics and contextual relevance without user intervention. The image organizing module autonomously determines the optimal placement order, eliminating the tedious manual sorting process while still achieving optimized image arrangement that enhances the final print product
Solution Approach 2:
The patent replaces the manual mechanical process of user-driven image sorting and placement with an automated computational system. Algorithms analyze image characteristics and automatically determine optimal sequencing and positioning, substituting human manual operations with automated intelligence to achieve both optimization and user convenience
3Productivity
If a predetermined number of images is used to generate print product offerings, then the process is simple, but image quality may be insufficient
Solution Approach 1:
The system changes the evaluation parameter from a simple count-based metric to a quality-based metric. Instead of selecting images based on quantity thresholds, the image organizing module evaluates each image using multiple quality parameters (sharpness, brightness, color balance, composition) and selects images that meet predetermined quality standards, ensuring high-quality output while maintaining automated process efficiency
Solution Approach 2:
The automated image organizing module independently assesses image quality using established quality metrics and automatically filters out substandard images. This self-service quality control mechanism ensures that only images meeting the required quality threshold are included in print product offerings, eliminating the need for users to manually verify quality while maintaining simple automated operation
Data Source
AI summary
A method for generating and displaying a print product offering including a plurality of digital images is provided. In one aspect the method comprises: generating a group of digital images from the plurality of digital images; classifying each of the digital images within the group based on at least one image quality parameter that includes an average image quality based on at least one characteristic of the digital images; selecting only the digital images in the group which conform to the image quality parameter for inclusion in the print product offering; providing a pre-developed electronic image product layout including a plurality of virtual orifices; populating the plurality of virtual orifices with only the digital images which conform to the image quality parameter to provide an image product template design; and displaying the image product template design as the print product offering on a display of a computing device.