Automated Photo Guide Generation for Image Quality Feedback

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Solution Overview

Problem

Photographers and users of digital images lack feedback on the quality of original images and the effects of automated enhancements, making it difficult for non-experts to identify degradations and improve image capture techniques.

Innovation Solution

An automated method and apparatus for generating an image quality guide document that includes thumbnails of enhanced images with text descriptions detailing content-based degradations and enhancements, providing shooting tips to avoid similar degradations in the future.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If automated enhancement methods are applied to digital images, then image quality is improved, but users lack feedback on the quality of original images and the effect of applied enhancements

Engineering Contradiction:
Improveimage qualityVSAvoidfeedback information
Core Design Contradiction:
Manufacturing precisionVSLoss of information

Solution Approach 1:

The patent implements a feedback mechanism by generating a photo guide document that provides users with information about image quality degradations detected in their original images and the enhancements applied. The system analyzes image features, identifies degradations such as low contrast or incorrect white balance, and communicates this information back to users through a structured report, enabling them to understand both problems and solutions.

Inventive Principle:
Principle #23Feedback

2Productivity

If automated enhancement is performed without user input, then processing efficiency is improved, but users cannot notice or understand the enhancements applied

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidenhancement information
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system maintains automated processing efficiency while compensating for the lack of user awareness by generating a comprehensive photo guide document. This document lists specific enhancements applied to each image (such as contrast enhancement, noise filtering, or sharpness improvement) alongside the detected degradations, allowing users to review and understand the automated changes without manual intervention in the enhancement process.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces an intermediary component - the photo guide generation system - that bridges the gap between automated enhancement processing and user understanding. This intermediary analyzes the enhanced images, compares them with originals, identifies applied enhancements, and presents this information in a user-friendly format, enabling users to comprehend automated processing results without being involved in the technical enhancement process.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of information

If manual enhancement is performed, then user control and awareness are improved, but processing time and complexity increase

Engineering Contradiction:
Improveuser awarenessVSAvoidprocessing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary automated analysis of image degradations and enhancements before presenting results to users. By pre-identifying image quality issues and determining appropriate enhancements, the system prepares a recommended processing plan that users can review and approve. This preliminary action reduces the time users would otherwise need to spend analyzing each image manually while maintaining their ability to understand and control the enhancement process.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS8340452B2Automatic generation of a photo guide
Publication Date: 2012.12.25 GENESEE VALLEY INNOVATIONS LLC
  • US8340452B2 patent drawing
  • US8340452B2 patent drawing
  • US8340452B2 patent drawing

AI summary

An apparatus, method and an image quality guide document are disclosed. The method includes, for at least one image in a set of images undergoing image enhancement, identifying image quality-related features for the image based on enhancements being applied to the image, identifying image content-related features based on content of the image, determining a content-based degradation of the image based on the identified image quality-related features and image content-related features, and generating a thumbnail of the image. The method further includes generating an image quality guide document for the set of images in which at least one of the thumbnails is associated with a respective text description that is based on the determined content-based degradation.