Parametric Tone-Adjustment Function for HDR Picture Brightness Modulation
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Solution Overview
Problem
Existing tone-mapping methods for High-Dynamic-Range (HDR) pictures face challenges in configuring automated tone-mapping across various video contents due to the need for manual adjustment of parameters like shadowGainControl, highLightGainControl, and midTonesAdjustement, which complicates robust and proper tone-mapping.
Innovation Solution
A method using a parametric tone-adjustment function defined over multiple ranges, where at least one parameter is associated with each range, with parameters such as shadowGainControl, highLightGainControl, and midTonesAdjustement being modulated by the brightness level of the input picture, allowing for a non-linear tone adjustment function across different ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of tone-mapping parameters is used, then tone-mapping accuracy can be improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically determines tone-mapping parameters by analyzing the input HDR picture content itself, without requiring external manual configuration. The processor extracts luminance statistics and automatically configures the tone-mapping function parameters, making the system self-sufficient and eliminating the need for manual intervention.
Solution Approach 2:
The patent dynamically adjusts tone-mapping parameters (such as shadow gain control, highlight gain control, and mid-tone adjustment) based on the actual luminance distribution of the input picture. By changing parameters adaptively according to content characteristics, the system achieves high accuracy without fixed manual configuration.
2Measurement precision
If manual adjustment of tone-mapping parameters is used, then tone-mapping accuracy can be improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic parameter determination by analyzing the input picture content and configuring tone-mapping parameters without user intervention. This self-service approach maintains high accuracy while completely eliminating the operational burden of manual parameter adjustment.
Solution Approach 2:
The processor performs preliminary analysis of the input HDR picture to determine luminance statistics and pre-configures the appropriate tone-mapping parameters before actual tone-mapping execution. This preliminary automatic configuration ensures accuracy is achieved without requiring operational complexity from the user.
3Ease of operation
If automated tone-mapping is implemented, then ease of operation is improved, but tone-mapping accuracy deteriorates due to lack of manual parameter adjustment
Solution Approach 1:
The system automatically analyzes input picture characteristics and self-configures optimal tone-mapping parameters without manual intervention, achieving both ease of operation and high accuracy simultaneously through content-adaptive automatic parameter determination.
Solution Approach 2:
The system uses feedback from luminance statistics extracted from the input HDR picture to automatically adjust and optimize tone-mapping parameters. This closed-loop approach ensures accuracy is maintained through content-aware automatic parameter selection while keeping operation simple.
4Device complexity
If fixed tone-mapping parameters are used, then device complexity is reduced, but adaptability to different video contents deteriorates
Solution Approach 1:
The system transitions from fixed parameters to dynamic parameters that automatically adapt to different input contents. The processor analyzes luminance distribution of each input HDR picture and dynamically configures tone-mapping parameters accordingly, achieving versatility without increasing operational complexity.
Solution Approach 2:
The patent implements content-adaptive parameter changes by extracting luminance statistics from different video contents and automatically adjusting tone-mapping parameters to match the specific characteristics of each content type, ensuring optimal performance across diverse inputs.
Data Source
AI summary
The present principles relates to a method and device for tone-mapping an input picture by using a parametric tone-adjustment function. The method is characterized in that the method comprises determining at least one parameter of said tone-adjustment function modulated by a brightness level of the input picture.


