Automatic Image Enhancement via Histogram Analysis

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Solution Overview

Problem

Existing methods for modifying image quality of content, such as videos, are complex and time-consuming, requiring technical expertise and are often not implemented by users due to their difficulty.

Innovation Solution

A system for enhancing content files, including a histogram module, contrast stretching module, and brightness module, which adjusts pixel intensities and brightness levels based on generated histograms, allowing for automatic image enhancement upon user request or during upload.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If existing methods for modifying image quality are used, then image enhancement can be achieved, but the process becomes complex and time-consuming requiring technical expertise

Engineering Contradiction:

Improveimage qualityVSAvoidenhancement process complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system performs automatic image enhancement without requiring user intervention or technical expertise. The server automatically analyzes uploaded images, generates histograms, determines enhancement parameters, and applies corrections, making the complex process transparent to the user who simply uploads and retrieves enhanced images

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary image enhancement processing during the upload phase. The server analyzes and enhances images before they are stored and made available to users, so that when users access the content, the enhancement work has already been completed in advance

Inventive Principle:

Principle #10Preliminary action

2Manufacturing precision

If existing methods for modifying image quality are used, then image enhancement can be achieved, but it takes too much time so that most users do not attempt to modify the content

Engineering Contradiction:

Improveimage qualityVSAvoidenhancement processing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary image enhancement processing during the upload phase. The server automatically analyzes and enhances images before they are stored and made available to users, so that when users access the content, the enhancement work has already been completed in advance

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual image enhancement operations with automated server-side processing. Instead of requiring users to manually adjust parameters and wait for processing, the server automatically performs histogram analysis and enhancement calculations, significantly reducing the time required

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If automatic image enhancement is performed during upload, then users without technical expertise can benefit from enhanced images, but additional processing time is required during upload

Engineering Contradiction:

Improveuser accessibilityVSAvoidupload processing time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Data Source

PatentEP2756453B1System for enhancing content

Publication Date: 2019.03.06 GOOGLE LLC

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AI summary

A system and method for enhancing a content file is disclosed. The system comprises a histogram module, a contrast stretching module and a brightness module. The histogram module generates a histogram including data that describes one or more pixel intensities for one or more channels included in a content file. The contrast stretching module adjusts the one or more pixel intensities for the one or more channels included in the content file based at least in part on the histogram. The brightness module is communicatively coupled to the contrast stretching module for determining whether a brightness level for the content file is within a range describing one or more acceptable brightness levels. The brightness module adjusts the brightness level for the content file responsive to determining that the brightness level for the content file is outside the range.