Image Layout Evaluation Using Composite Quality Scoring

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Solution Overview

Problem

Users face difficulties in finding and utilizing desired images from large collections due to the inclusion of defective images, such as those taken with shaking, which affect the quality of layout images created and user satisfaction.

Innovation Solution

An image processing apparatus and method that acquires an image group, creates layout candidates, and evaluates them based on image quality and size, allowing for the filtering out of defective images and the generation of user-preferred layouts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If defective images are included in the layout to maximize image utilization, then the quantity of images used increases, but the quality and user satisfaction of the layout decreases

Engineering Contradiction:
Improvenumber of images usedVSAvoidlayout quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent changes the evaluation parameters by introducing a composite scoring system that combines image quality metrics (sharpness, exposure, composition) with layout suitability metrics (size matching, positional arrangement, thematic coherence). This allows defective images to be evaluated on multiple dimensions, enabling their inclusion in layouts when they meet acceptable thresholds in certain aspects while compensating for deficiencies in others.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system dynamically adjusts the selection criteria based on the specific characteristics of each image and the requirements of different layout positions. Instead of applying fixed quality thresholds, the evaluation adapts to determine whether a defective image can be appropriately placed in specific positions where its defects are less noticeable or where its strengths can be leveraged.

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If strict quality filtering is applied to exclude defective images, then the quality and user satisfaction of layouts improves, but the number of usable images decreases

Engineering Contradiction:
Improvelayout qualityVSAvoidnumber of usable images
Core Design Contradiction:
Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The patent transforms the binary accept/reject quality filter into a multi-dimensional scoring system. Instead of discarding images below a certain quality threshold, the system assigns numerical scores across multiple parameters (sharpness, exposure, composition, color balance) and combines these with layout-specific requirements to determine optimal image placement, thereby utilizing more images with varying quality levels.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The evaluation system applies different quality standards to different regions and positions within the layout. Certain positions may tolerate more defects than others, and the system matches images to positions based on local requirements rather than applying uniform quality criteria across the entire layout.

Inventive Principle:
Principle #3Local quality

3Device complexity

If image quality evaluation is performed without considering layout size, then the evaluation process is simpler, but the accuracy of layout suitability assessment decreases

Engineering Contradiction:
Improveevaluation process complexityVSAvoidlayout suitability accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent merges image quality evaluation with layout size assessment into a unified scoring mechanism. The evaluation simultaneously considers intrinsic image qualities (sharpness, exposure) and extrinsic factors (image size relative to layout slot, scaling requirements, aspect ratio matching), combining these into a composite suitability score that determines optimal placement.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system introduces size-related parameters (scaling factor, aspect ratio deviation, area utilization) into the evaluation function and dynamically weights them based on layout requirements. This transforms the evaluation from a static quality check to a dynamic assessment that adapts to the specific dimensional constraints and design goals of each layout configuration.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9436706B2Image processing apparatus, image processing method, and storage medium for laying out images
Publication Date: 2016.09.06 CANON KK
  • US9436706B2 patent drawing
  • US9436706B2 patent drawing
  • US9436706B2 patent drawing

AI summary

An image group including at least one image is acquired, a layout candidate is created, by laying out images included in an acquired image group, and the created layout candidate is evaluated. Evaluation of the layout candidate is performed based on evaluation of each image laid out within a layout, and a scaling factor based on image size of the image placed in the layout, and a size of the image.