Gamut Mapping Using Adjacent Pixel Data for Display Contrast
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Solution Overview
Problem
Conventional display systems face challenges in achieving high image quality while maintaining low power consumption, particularly in gamut mapping and subpixel rendering, which can lead to image degradation such as blurriness and loss of local contrast, especially in low brightness environments.
Innovation Solution
The implementation of a display apparatus that includes a block diagram with an image processing circuit performing subpixel rendering and dynamic backlight control, along with gamut clamping and sharpening filters, to optimize subpixel values and reduce power consumption while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional gamut mapping is used to reduce power consumption, then energy efficiency improves, but image quality deteriorates with blurriness and loss of local contrast
Solution Approach 1:
The patent applies local quality by considering pixels in adjacent areas when performing gamut mapping. Instead of processing each pixel independently, the algorithm examines neighboring pixels to preserve local contrast and prevent blurriness. This localized approach maintains image quality while still achieving power consumption reduction through gamut mapping.
Solution Approach 2:
The patent implements feedback by using information from adjacent pixels to guide the gamut mapping process. The algorithm continuously references neighboring pixel values to adjust mapping decisions, ensuring that local contrast is preserved and image quality is maintained throughout the power-efficient rendering process.
2Manufacturing precision
If subpixel rendering is applied to improve image sharpness, then visual quality improves, but power consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting subpixel rendering parameters based on local image characteristics. The algorithm modifies rendering intensity and parameters in different regions of the display, applying full subpixel rendering only where needed to maintain sharpness while reducing or eliminating it in other areas to conserve power.
3Speed
If gamut mapping processes each pixel independently, then processing speed improves, but image quality deteriorates due to loss of local contrast
Solution Approach 1:
The patent applies local quality by making processing speed and quality decisions at the local pixel level rather than requiring global image processing. Each pixel's gamut mapping is performed independently but with consideration for adjacent pixels, maintaining local contrast while preserving overall processing efficiency.
Data Source
AI summary
A gamut mapping operation (910) detects in-gamut areas surrounded on at least two sides by out-of-gamut areas, and (920, 940) provides additional reduction of the subpixel values in the in-gamut areas to regain some of the contrast between the in-gamut and out-of-gamut areas. Other embodiments are also provided.