Display Image Control for High Dynamic Range Artefact Reduction
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Solution Overview
Problem
Displays face challenges in accurately rendering high dynamic range images due to differences between input signal gamuts and display gamuts, leading to limited color depth and range, and resulting in negative image characteristics such as color shifts and visible contrast artefacts.
Innovation Solution
The solution involves a method that includes linearization and boosting of image data, followed by color correction and gamut transformation to match the display's capabilities, using a look-up table or matrix operations to adjust pixel driving values, and introducing dithering to mitigate artefacts, ensuring the image data is within the display's gamut and optimized for high dynamic range display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image data is linearized and boosted to increase dynamic range and color depth, then the quality of high dynamic range images is improved, but visible contrast artefacts and color shifts are introduced
Solution Approach 1:
The patent applies gamma correction to transform the boosted image data back to a perceptually uniform color space. This parameter transformation resolves the contradiction by converting the linearized data with enhanced dynamic range into a format that matches human visual perception, thereby eliminating visible contrast artefacts and color shifts while preserving the improved color depth and dynamic range
Solution Approach 2:
The patent introduces a gamma correction step as an intermediary process between the boosting operation and the final display output. This intermediary transformation acts as a bridge that translates the technologically enhanced but perceptually incorrect linear data into visually accurate image data, thus resolving the artefact problem while maintaining the benefits of boosting
2Illumination intensity
If image data is linearized and boosted to increase dynamic range, then the luminance range is expanded, but posterization effects occur
Solution Approach 1:
The patent applies gamma correction to transform the boosted image data back to a perceptually uniform color space. This parameter transformation resolves the contradiction by converting the linearized data with enhanced dynamic range into a format that matches human visual perception, thereby eliminating visible contrast artefacts and color shifts while preserving the improved color depth and dynamic range
Solution Approach 2:
The patent introduces a gamma correction step as an intermediary process between the boosting operation and the final display output. This intermediary transformation acts as a bridge that translates the technologically enhanced but perceptually incorrect linear data into visually accurate image data, thus resolving the artefact problem while maintaining the benefits of boosting
3Measurement precision
If gamut transformation is applied to match display capabilities, then color accuracy is improved, but the complexity of image processing increases
Solution Approach 1:
The patent applies gamma correction early in the processing pipeline, immediately after the boosting operation. This preliminary action establishes a perceptually uniform working space for subsequent gamut transformations, simplifying the overall processing complexity while ensuring color accuracy is achieved through a systematic, pre-planned sequence of operations
Data Source
AI summary
Displays such as televisions, computer monitors, and the like may boost (124) the dynamic range of input image data (121). Dithering (128) may be provided to mitigate artefacts made visible as a result of the boosting. Color correction (124) may be implemented. The color correction may compensate for differences between a color of a backlight and a desired white point.