Video Signal Brightness Interpolation for HDR10 Display Accuracy
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Solution Overview
Problem
In HDR10 video signal processing, adjusting backlight brightness without matching the Perceptual Quantization (PQ) Electro-Optical Transfer Function (EOTF) results in incorrect display brightness, as the existing methods fail to accurately represent the relationship between video signals and display brightness when varying backlight intensity.
Innovation Solution
A video signal processing method and device that reads and interpolates between stored brightness mapping relationships to convert nonlinear brightness information into linear brightness information, ensuring correct display brightness by selecting and interpolating between mapping relationships corresponding to adjacent set brightness levels, thereby accurately representing target brightness within the display's control range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple brightness mapping relationships for different set brightness values are stored, then correct display brightness can be achieved for various backlight intensities, but storage space requirements increase significantly
Solution Approach 1:
The patent segments the brightness control range into multiple discrete set brightness values (e.g., 10 levels from 10% to 100%). Only mapping relationships for these specific segmented brightness levels are stored, rather than all possible brightness values. This segmentation allows the system to cover the entire brightness range with a manageable number of stored mappings, resolving the contradiction between comprehensive brightness accuracy and storage space requirements.
Solution Approach 2:
The patent introduces interpolation as an intermediary mechanism to generate mapping relationships for brightness values between the stored set brightness levels. When a target brightness falls between two stored set brightness values, the system interpolates between their corresponding mapping relationships to derive the appropriate mapping. This intermediary approach enables accurate brightness adjustment for any brightness level without storing mapping relationships for all possible values, thus maintaining display brightness accuracy while minimizing storage space.
2Quantity of substance
If brightness adjustment uses discrete set brightness levels, then storage space is reduced, but brightness adjustment becomes stepped rather than smooth
Solution Approach 1:
Interpolation serves as an intermediary that bridges the discrete stored mapping relationships and the continuous brightness adjustment requirement. By calculating intermediate mapping relationships between stored set brightness levels, the system generates smooth transitions for brightness adjustment. This allows users to adjust brightness continuously across the entire range while the system only stores mappings for discrete levels, thus maintaining both storage efficiency and operational smoothness.
Solution Approach 2:
The patent implements dynamic interpolation that adapts to the target brightness value. When adjusting brightness, the system dynamically selects which two stored mapping relationships to interpolate between based on the target brightness level, and dynamically calculates the interpolation factor. This dynamic approach ensures smooth and accurate brightness transitions across the entire control range, transforming the static discrete brightness levels into dynamic continuous adjustment capability.
3Device complexity
If the PQ EOTF is fixed based on maximum brightness, then the video signal processing is simplified, but display brightness becomes incorrect when backlight brightness is adjusted
Solution Approach 1:
The patent transforms the fixed PQ EOTF into a dynamic, adaptive mapping relationship that changes according to the target brightness level. Instead of using a single static EOTF curve calibrated for maximum brightness, the system selects or generates appropriate mapping relationships for different brightness levels through interpolation. This dynamic adaptation ensures that the video signal processing remains relatively simple (using standard PQ EOTF as base) while achieving accurate display brightness across all backlight brightness settings.
Solution Approach 2:
The patent changes the parameters of the brightness mapping relationship based on the target brightness level. By adjusting parameters such as the mapping curve characteristics and interpolation factors according to the desired brightness output, the system maintains correct display brightness accuracy. This parameter adaptation allows the same video signal processing framework to work correctly across different brightness conditions without requiring complete reprocessing of the video signal.
Data Source
AI summary
A video signal processing device and method thereof are provided in the present application. The video processing device includes a storage and a processor. The storage stores a plurality of brightness mapping relationships. If set brightness corresponding to the brightness mapping relationships does not match the target brightness, the processor selects a first mapping relationship and a second mapping relationship of two pieces of set brightness closing to target brightness from the brightness mapping relationships. A target mapping relationship corresponding to the target brightness is obtained by an interpolation according to the first mapping relationship, the first brightness, the second mapping relationship and the corresponding set brightness. The processor converts nonlinear brightness information of a first video signal into linear brightness information of a second video signal according to the target mapping relationship.