Image Evaluation Method Using Weighted Area Segmentation

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Solution Overview

Problem

Existing image evaluation methods evaluate individual items in isolation, making comprehensive evaluation difficult and inefficient.

Innovation Solution

An image evaluation method that acquires image information, sets a smaller evaluation area, performs individual evaluations for specific items like defocus and motion blur, and combines these evaluations using weights to obtain a comprehensive assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If individual evaluation items are evaluated separately, then each specific image quality parameter can be measured, but comprehensive evaluation becomes difficult and inefficient

Engineering Contradiction:

Improveindividual evaluation precisionVSAvoidevaluation efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent divides image evaluation into multiple independent evaluation items (sharpness, noise, color accuracy, etc.), each evaluated separately with dedicated algorithms. This segmentation allows precise measurement of each parameter while maintaining overall evaluation efficiency through modular processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent combines multiple individual evaluation results into a comprehensive image quality assessment by integrating the results through weighted summation or composite scoring mechanisms, achieving both detailed parameter analysis and overall evaluation efficiency.

Inventive Principle:

Principle #5Merging (Combining)

2Reliability

If comprehensive evaluation is performed on entire image, then complete image quality assessment is achieved, but processing time and computational load increase

Engineering Contradiction:

Improveevaluation completenessVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent extracts representative regions or key areas from the entire image for evaluation, such as focusing on the central region or areas with significant features, thereby reducing processing time while maintaining reliable assessment of overall image quality.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs evaluation on a partial region of the image that contains sufficient information for comprehensive assessment, rather than processing the entire image, thus achieving reliable evaluation with reduced computational overhead and faster processing.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS7551791B2Image evaluation method, image evaluation device, and storage medium having program stored thereon

Publication Date: 2009.06.23 ADVANCED INTERCONNECT SYST LTD

AI summary

In the present invention, an image evaluation method includes: (a) a step of acquiring image information to be evaluated; (b) a step of setting an evaluation area for the acquired image information, the evaluation area being smaller than an area corresponding to the image information; (c) a step of obtaining an individual evaluation on the acquired image information; (d) a step of obtaining another individual evaluation on the acquired image information; and (e) a step of obtaining a comprehensive evaluation based on the individual evaluation and the other individual evaluation. Herein, the individual evaluation is obtained by individually evaluating a predetermined item in the set evaluation area. The other individual evaluation is obtained by individually evaluating another predetermined item.