Adaptive HDR Tone Mapping for Luminance Distribution Analysis
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Solution Overview
Problem
Current tone mapping methods for converting high dynamic range (HDR) digital images to standard dynamic range (SDR) displays often result in distortion due to preset compression methods that do not consider the distribution of luminance values in the HDR image, leading to either over-compression or unnecessary clipping.
Innovation Solution
An adaptive HDR tone mapping system that analyzes the HDR image to determine the optimal compression method by comparing the portion of the image dedicated to luminance values within and outside the SDR display's operational range, using relative brightness ratios and sub-range compression factors to either clip or compress luminance values accordingly, preserving contrast and image integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If preset compression methods are used for converting HDR to SDR, then the conversion process is simple and fast, but the image quality deteriorates due to distortion, over-compression, or unnecessary clipping
Solution Approach 1:
The patent applies dynamics by making the compression method adaptive rather than static. The system dynamically selects between clipping and compression techniques based on the analyzed luminance distribution of each HDR image, allowing the tone mapping process to adjust to different image characteristics while maintaining both efficiency and quality
Solution Approach 2:
The patent changes the parameter of compression method selection based on luminance analysis. By calculating the ratio of pixels in different luminance ranges and comparing it to a threshold, the system determines whether to apply clipping or compression, optimizing image quality for each specific case while maintaining reasonable processing speed
2Manufacturing precision
If adaptive analysis of luminance distribution is performed to select optimal compression method, then image quality is preserved, but the processing complexity increases
Solution Approach 1:
The patent segments the luminance range into different categories (first luminance range and second luminance range) and analyzes the distribution of pixels across these segments. This segmentation approach simplifies the complex task of adaptive tone mapping by breaking it down into manageable luminance buckets that can be efficiently counted and compared
Solution Approach 2:
The system performs self-service by automatically analyzing its own input image characteristics and selecting the appropriate compression method without external intervention. The luminance distribution analysis and method selection are handled autonomously by the tone mapping system itself, reducing the need for manual configuration or complex external control mechanisms
Data Source
AI summary
An information handling system operating an adaptive HDR tone mapping system may comprise a display screen including a plurality of pixels operating at a lower dynamic range of brightness values, a graphics processor executing code instructions to prepare data of an HDR digital image for display at the lower dynamic range, to determine a relative brightness ratio comparing a number of pixels in the data for the image to display at a brightness level below a typical display brightness and at or above the typical display brightness, and to generate a tone map to modify the data of the image if the relative brightness ratio does not meet or exceed a preset threshold such that the pixels are mapped to a maximum brightness of a peaking display brightness level of the display screen, and the display screen displaying the plurality of pixels according to the first adaptive tone map modification.