HDR Tone-Mapping Mode Selection Using Distortion Feedback
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Solution Overview
Problem
Existing HDR video processing methods struggle to determine the optimal mode (automatic or director) for tone-mapping, leading to suboptimal results in certain scenes.
Innovation Solution
A method that determines the mode used by an HDR video based on a quality assessment algorithm, comparing distortion caused by the tone-mapping curve to a threshold, and adjusting parameters to optimize the tone-mapping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic mode is used for tone-mapping, then processing efficiency is improved, but tone-mapping quality deteriorates in certain scenes
Solution Approach 1:
The patent implements dynamic mode switching between automatic and director modes based on real-time quality assessment. The system evaluates distortion metrics and scene characteristics to adaptively select the optimal processing mode, allowing the tone-mapping quality to be dynamically optimized without sacrificing overall processing efficiency.
Solution Approach 2:
The patent introduces a quality assessment algorithm that provides feedback on tone-mapping distortion. This feedback mechanism enables the system to evaluate the performance of automatic mode processing and switch to director mode when quality thresholds are not met, creating a closed-loop control system that maintains high quality while preserving efficiency.
2Manufacturing precision
If director mode is used for tone-mapping, then tone-mapping quality is improved, but processing complexity increases
Solution Approach 1:
The patent segments the video processing into different modes (automatic and director) based on scene requirements. By dividing the processing workflow and applying different algorithms selectively, the system achieves high quality where needed without increasing overall complexity for all scenes.
Solution Approach 2:
The patent applies local quality optimization by using director mode selectively for specific scenes that require it, rather than applying it globally. The quality assessment algorithm identifies scenes where director mode is beneficial, applying enhanced processing only where necessary to maintain high quality without unnecessary complexity.
3Manufacturing precision
If mode selection is made manually, then tone-mapping quality is improved, but automation level decreases
Solution Approach 1:
The patent implements self-service automation through an intelligent mode selection algorithm that automatically assesses scene characteristics and selects the appropriate processing mode without manual intervention. The system serves itself by making intelligent decisions based on quality metrics, maintaining both high automation level and quality.
Solution Approach 2:
The patent changes the parameter of mode selection from manual fixed choice to dynamic automatic selection based on quality assessment metrics. By transforming the selection criterion into an automated parameter change based on distortion measurements and scene analysis, the system achieves both automation and quality optimization.
Data Source
AI summary
This application provides a high dynamic range HDR video processing method, an encoding device, and a decoding device. The method includes: obtaining dynamic metadata of an Nth HDR video frame according to a dynamic metadata generation algorithm; calculating a tone-mapping (tone-mapping) curve parameter of the Nth HDR video frame based on the dynamic metadata of the Nth HDR video frame; generating a tone-mapping curve based on the curve parameter; determining, according to a quality assessment algorithm, distortion D′ caused by the tone-mapping curve; comparing D′ and DT, to determine a mode used by the Nth HDR video frame, where the mode is an automatic mode or a director mode, and DT is a threshold value; and determining metadata of the Nth HDR video frame based on the determined mode used by the Nth HDR video frame.