HDR Luminance Evaluation Device for Camera Iris Adjustment
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Solution Overview
Problem
It is challenging for video engineers to accurately adjust the luminance of high dynamic range (HDR) video signals, as the wide luminance level range makes it difficult to maintain a constant luminance level, especially in broadcasting where compatibility and viewer comfort are considerations, and manual adjustments are influenced by the surrounding environment.
Innovation Solution
A device and camera system that process HDR video signals to calculate luminance evaluation values, such as average and high-luminance area ratios, and display them on a unit, allowing for easier adjustment of camera settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual luminance adjustment is performed by video engineers monitoring a monitor and waveform monitor, then adjustment flexibility is maintained, but adjustment accuracy deteriorates due to difficulty in setting reference and human sense being affected by surrounding environment
Solution Approach 1:
An automatic luminance adjustment apparatus is introduced as an intermediary between the video engineer and the camera system. This apparatus automatically adjusts the luminance of HDR video signals based on calculated evaluation values, eliminating the need for manual adjustment while maintaining accuracy. The apparatus serves as a mediator that translates complex luminance evaluation into automatic adjustment actions.
Solution Approach 2:
The system implements feedback by calculating luminance evaluation values from the video signal and using these values to automatically adjust luminance. The apparatus continuously monitors the luminance characteristics and makes real-time adjustments based on the evaluated data, creating a closed-loop control system that ensures accurate luminance levels.
2Adaptability or versatility
If the luminance level range is extended to HDR (0% to 100%*N), then dynamic range is improved, but difficulty in maintaining constant luminance level increases
Solution Approach 1:
The system replaces manual mechanical adjustment (video engineers physically adjusting settings) with automated electronic processing. The luminance adjustment apparatus uses signal processing to automatically calculate evaluation values and adjust luminance levels, substituting human operation with automated computational methods that can handle the extended HDR range accurately.
Solution Approach 2:
The system changes the parameter representation by calculating luminance evaluation values as ratios relative to a reference value (code value corresponding to 100% luminance). This parameter transformation allows the system to work with the extended HDR range while maintaining consistent control, converting absolute luminance values into normalized ratios that are easier to manage.
3Measurement precision
If automatic luminance adjustment apparatus is introduced, then luminance adjustment accuracy is improved, but device complexity increases
Solution Approach 1:
The luminance adjustment apparatus is designed to perform multiple functions: calculating luminance evaluation values, determining adjustment amounts, and executing luminance adjustment. By consolidating these functions into a single multi-functional device, the system achieves accurate luminance control without proportionally increasing overall system complexity.
Solution Approach 2:
The apparatus performs self-service by automatically calculating luminance evaluation values and adjusting luminance without requiring external manual intervention. The system uses its own computational resources to evaluate and adjust luminance, eliminating the need for separate manual adjustment mechanisms and reducing overall system complexity.
Data Source
AI summary
It is made such that a user can easily and appropriately evaluate luminance of an HDR video signal.A luminance evaluation value is obtained by processing the HDR video signal. The luminance evaluation value is displayed on a display unit. For example, the HDR video signal is a linear HDR video signal and/or the HDR video signal obtained by performing gradation compression on the linear HDR video signal with a log curve characteristic. For example, the luminance evaluation value includes an average picture level, a high light share ratio, a high light average picture level, a product value of the high light share ratio and the high light average picture level and the like.