HDR Content Verification via Hue Comparison
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Solution Overview
Problem
Consumer media viewing devices often fail to accurately display High Dynamic Range (HDR) content due to unsupported brightness ranges and inadequate tone mapping techniques, resulting in distorted imagery.
Innovation Solution
A verification system that generates and displays test patterns with specific hues to evaluate the quality of HDR content by comparing the expected and actual hues displayed, allowing for corrective actions to be taken if quality thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If tone mapping techniques are used to adapt HDR content for media viewing devices, then the content can be displayed on devices with limited brightness range, but the imagery becomes distorted with poor color shifts and distorted colors
Solution Approach 1:
The system measures actual hue values from displayed test patterns and compares them against expected values to determine quality metrics. This feedback loop enables objective evaluation of tone mapping performance and identification of distortion characteristics.
Solution Approach 2:
The patent replaces subjective visual evaluation with objective computational measurement using test patterns and hue comparison algorithms, enabling precise quantification of image quality metrics that were previously difficult to measure.
2Device complexity
If conventional media viewing devices display HDR content without proper tone mapping, then device complexity is reduced, but the displayed imagery becomes distorted and colors are inaccurate
Solution Approach 1:
The system uses test patterns with known expected hue values as references to evaluate the actual display output. By copying and comparing these reference patterns against actual display results, the system objectively measures color accuracy without requiring complex analysis of the entire content.
3Adaptability or versatility
If tone mapping techniques are applied to HDR content, then the content can be displayed on devices with limited dynamic range, but quality verification becomes difficult without objective measurement methods
Solution Approach 1:
The patent replaces subjective visual inspection with objective computational measurement. Test patterns with precisely defined hue values are displayed and captured, then processed through algorithms that objectively quantify color accuracy, eliminating the difficulty of subjective quality assessment.
Solution Approach 2:
The system uses test patterns with specific color transitions and hue steps to evaluate display performance. By measuring actual color values at different steps and comparing them against expected values, the system objectively detects color shifts and distortion characteristics.
Data Source
AI summary
In one embodiment, a method is provided. The method includes comparing a first hue of a displayed test pattern with a second hue of a generated test pattern to determine one or more differences in hue. The displayed test pattern is displayed on a display of a media viewing device, and the media viewing device receives and displays digital content. The displayed test pattern includes a first plurality of steps, and a first step of the first plurality of steps includes the first hue. The generated test pattern includes a second plurality of steps, and each step of the second plurality of steps includes the second hue. The one or more differences in hue are utilized to determine a quality of the digital content displayed on the media viewing device.