Ambient-Light-Corrected Display Management for HDR Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display management techniques fail to effectively adapt to changing ambient light conditions, leading to suboptimal rendering of high dynamic range (HDR) images, particularly in environments with varying luminance levels.
Innovation Solution
The implementation of an ambient-light-corrected display management process that generates a corrected PQ luminance mapping function based on viewing environment parameters, adjusting tone-mapped images by mapping codewords from an original PQ luminance mapping function to a PQ′ luminance mapping function, and incorporating additional steps for tone curve remapping and subtracting estimated reflected light to maintain image quality across different dynamic ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional display management techniques are used, then the display process is simple, but the image quality deteriorates under varying ambient light conditions
Solution Approach 1:
The display management process dynamically adapts to changing ambient light conditions by adjusting the PQ luminance mapping function based on measured ambient luminance values. The system transitions from a static mapping approach to a dynamic one that continuously modifies tone curve parameters (a, b, c) according to the viewing environment, ensuring optimal image quality across varying luminance conditions.
Solution Approach 2:
The invention changes the parameters of the PQ luminance mapping function (specifically the tone curve parameters a, b, c) based on ambient light measurements. By modifying these parameters adaptively, the system optimizes the mapping between HDR content luminance and display output luminance for different ambient conditions, improving image quality without requiring a complete redesign of the display management architecture.
2Reliability
If HDR content is displayed on SDR displays, then the dynamic range is reduced, but the contrast and detail are lost
Solution Approach 1:
The system adaptively adjusts the tone curve parameters of the PQ luminance mapping function based on the target display's capabilities and ambient conditions. By dynamically modifying parameters a, b, and c, the system optimizes the compression of HDR luminance range to fit SDR display capabilities while preserving as much contrast and detail as possible through environment-aware mapping.
Solution Approach 2:
The display management system incorporates feedback from ambient light sensors and display capability measurements to continuously optimize the PQ luminance mapping. This feedback loop allows the system to adjust the tone curve in real-time based on actual viewing conditions, ensuring optimal contrast and detail preservation when mapping HDR content to displays with limited dynamic range.
3Reliability
If the display adapts to ambient light conditions, then the visual experience improves, but the processing complexity increases
Solution Approach 1:
Rather than implementing a completely new mapping algorithm, the system improves visual experience by adaptively adjusting the parameters of the existing PQ luminance mapping function. This approach maintains relative processing simplicity while achieving environment-aware optimization, as it builds upon the established SMPTE ST 2084 standard rather than requiring a fundamental redesign.
Data Source
AI summary
Methods are disclosed for adaptive display management using one or more viewing environment parameters. Given the one or more viewing environment parameters, an effective luminance range for a target display, and an input image, a tone-mapped image is generated based on a tone-mapping curve, an original PQ luminance mapping function, and the effective luminance range of the display. A corrected PQ (PQ′) luminance mapping function is generated according to the viewing environment parameters. A PQ-to-PQ′ mapping is generated, wherein codewords in the original PQ luminance mapping function are mapped to codewords in the corrected (PQ′) luminance mapping function, and an adjusted tone-mapped image is generated based on the PQ-to-PQ′ mapping.