HDR Image Processing Using Percentile RGB Values
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Solution Overview
Problem
Conventional methods for adjusting the dynamic range of high dynamic range (HDR) images rely solely on maximum and minimum content light levels, leading to a loss of light levels and poor display effects due to inadequate brightness contrast.
Innovation Solution
An HDR image processing method that calculates a maximum modification value based on specific percentages of pixels with maximum RGB component values, improving classification accuracy and adjusting the dynamic range to enhance display effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional dynamic range adjustment methods using only maximum and minimum content light levels are employed, then the adjustment process is simple, but a large quantity of light levels are lost and brightness contrast is not significant
Solution Approach 1:
The patent changes the parameters used for dynamic range adjustment from only maximum and minimum content light levels to include multiple percentile-based maximum RGB component values (e.g., 100th percentile, 99th percentile, 95th percentile). This parameter expansion allows the system to preserve more light level information while maintaining a relatively simple adjustment process by using statistical percentiles of pixel data.
2Device complexity
If conventional dynamic range adjustment methods using only maximum and minimum content light levels are employed, then the adjustment process is simple, but brightness contrast is not significant and display effect is poor
Solution Approach 1:
The patent introduces multiple percentile-based maximum RGB component values to replace the conventional single maximum and minimum light level parameters. By using percentiles (100th, 99th, 95th, etc.), the system captures a more distributed representation of brightness values in the HDR image, thereby improving brightness contrast and overall display effect while keeping the adjustment methodology relatively straightforward.
3Loss of information
If multiple percentile-based maximum RGB component values are used for dynamic range adjustment, then light levels are preserved and brightness contrast is improved, but the adjustment process becomes more complex
Solution Approach 1:
The patent performs preliminary statistical analysis on the HDR image data to calculate multiple percentile-based maximum RGB component values before the actual dynamic range adjustment. By pre-computing these percentile values (100th, 99th, 95th, etc.), the system prepares the necessary parameters in advance, which simplifies the subsequent adjustment process despite the increased number of parameters being used.
4Illumination intensity
If multiple percentile-based maximum RGB component values are used for dynamic range adjustment, then display effect is improved, but calculation and processing requirements increase
Solution Approach 1:
The patent replaces complex iterative optimization methods with direct statistical percentile calculations. Instead of using computationally intensive mechanical or iterative adjustment processes to determine optimal dynamic range parameters, the system substitutes these with efficient statistical computations (calculating percentiles of pixel RGB values), which significantly reduce calculation and processing requirements while maintaining improved display效果.
Data Source
AI summary
A high dynamic range image processing method and apparatus, to improve a display effect of a high dynamic range image. The method includes: obtaining image information of a to-be-processed high dynamic range (HDR) image, the image information includes a maximum RGB component value of a first pixel corresponding to a first percentage and a maximum RGB component value of a second pixel corresponding to a second percentage; determining a maximum reference value of the HDR image; determining a maximum luminance modification value of the HDR image based on the maximum reference value and a plurality of preset hierarchy intervals, where the maximum luminance modification value is used to modify a largest value in maximum RGB component values of the plurality of pixels included in the HDR image; and adjusting a dynamic range of the HDR image based on the maximum luminance modification value.