Automated HDR Bright Region Luminance Correction
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Solution Overview
Problem
The creation of HDR content using SDR display devices often results in unnatural and inconsistent luminance values for light sources and reflections, leading to lower quality images when displayed on HDR devices, as content creators cannot visually assess the native HDR luminance values on SDR displays.
Innovation Solution
A method and system that detect and correct bright regions with incorrect luminance values in HDR content by classifying them using machine learning models, comparing to predefined values, and adjusting them to match the correct luminance, optionally with manual input, to produce a corrected HDR image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If HDR content is created using SDR display devices, then content creation is accessible to most creators, but the luminance values become unnatural and inconsistent
Solution Approach 1:
The system provides automated feedback by detecting and comparing luminance values of bright regions against predefined correct values, allowing creators to review and correct inaccuracies without needing HDR display devices during creation
Solution Approach 2:
The patent introduces an intermediary review system that acts as a mediator between the SDR creation process and HDR output requirements, enabling quality control without requiring HDR display hardware during content creation
2Device complexity
If content creators use SDR display devices, then display hardware requirements are reduced, but visual quality assessment of HDR content is compromised
Solution Approach 1:
The patent replaces the mechanical/physical requirement of HDR display hardware with an algorithmic review system that automatically measures and evaluates luminance values through image processing and comparison against predefined standards
3Manufacturing precision
If manual review of HDR content is performed, then quality control is thorough, but the process is time-consuming
Solution Approach 1:
The system performs self-service by automatically detecting, classifying, and measuring luminance values of bright regions, eliminating the need for manual inspection while maintaining comprehensive quality control
Solution Approach 2:
The patent substitutes manual visual inspection with automated image processing algorithms that rapidly analyze luminance values and provide immediate feedback on correctness
Data Source
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AI summary
Methods, systems and computer program products are described herein that enable the identification and correction of incorrect and/or inconsistent tones in the bright regions in an HDR image. A bright region is identified in an image. The bright region is classified into an assigned classification. A luminance value of the bright region is determined and compared to a predefined luminance values corresponding to the classification. The luminance value of the bright region is adjusted to match the predefined luminance values where there is a mismatch. Bright regions including mismatched or incorrect luminance values may be rendered on display to include a visual indicator that such regions include mismatched luminance values.