Image-Adaptive Tone Mapping for Display Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image-adaptive tone mapping methods face difficulties in real-time implementation and complexity due to excessive computation requirements, especially in reflecting low-grayscale region characteristics and maintaining a high contrast ratio.
Innovation Solution
A method that calculates entire-grayscale, low-grayscale, and high-grayscale luminance averages to determine tone mapping functions, dividing the display panel into non-target and target blocks for simplified global and local tone mappings, respectively, using a local weighted value to adjust tone mapping functions for each block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If local tone mapping is performed by applying respective tone mapping functions to respective pixels to complement global tone mapping, then the contrast ratio and low-grayscale region characteristics are improved, but the computation complexity increases excessively making real-time processing difficult
Solution Approach 1:
The patent divides the image frame into multiple blocks and performs tone mapping on each block separately rather than on individual pixels. This segmentation reduces the computation complexity from O(N pixels) to O(N/blocks) while still capturing local characteristics to improve contrast ratio and low-grayscale region representation.
Solution Approach 2:
The patent applies local tone mapping selectively to specific blocks that meet certain criteria (e.g., blocks containing low-grayscale regions) rather than uniformly applying it to all pixels. This partial action approach maintains the benefits of local adaptation where needed while reducing overall computation complexity in regions where global tone mapping suffices.
2Manufacturing precision
If conventional image-adaptive tone mapping performs local tone mapping in a complicated way to complement global tone mapping, then the low-grayscale region characteristics are reflected, but the implementation and real-time processing become difficult
Solution Approach 1:
The patent applies different tone mapping strategies to different blocks based on their local characteristics. Blocks identified as containing low-grayscale regions receive enhanced local tone mapping treatment, while other blocks use standard global tone mapping. This local quality approach ensures proper representation of low-grayscale regions without unnecessarily complicating the processing of all image regions.
Solution Approach 2:
The patent modifies the tone mapping function parameters dynamically based on block characteristics. By calculating luminance statistics for each block and adjusting tone mapping parameters accordingly, the system achieves adaptive local tone mapping that reflects low-grayscale region characteristics while maintaining implementation simplicity through parameter adjustment rather than complex algorithmic changes.
Data Source
AI summary
A method of performing an image-adaptive tone-mapping for a display device including performing a first tone-mapping on an image frame by applying a first tone-mapping function to respective non-target display blocks, and performing a second tone-mapping on the image frame by applying a second tone-mapping function obtained by applying a local weighted value to the first tone-mapping function to respective target display blocks.