Image Driving Method for Luminance Distortion Compensation
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Solution Overview
Problem
Display devices with non-RGB structures, such as RGBW or RGBCY, experience luminance distortion when displaying RGB image data due to variations in the number of sub-pixels required to generate certain colors, leading to increased or decreased luminance for specific colors.
Innovation Solution
An image driving method and apparatus that transforms basic image data with RGB primary colors into output image data using a different set of primary colors, such as RGBW or RGBCY, by reducing luminance values of saturated colors based on a determined reduction ratio to compensate for luminance distortion, and adjusts backlight luminance independently in different regions to maintain consistent color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RGB image data is displayed on non-RGB display devices (RGBW, RGBCY), then the display device can utilize additional sub-pixels (white, cyan, yellow) to enhance color reproduction, but luminance distortion occurs because the number of sub-pixels required to generate certain colors varies
Solution Approach 1:
The patent transforms image data from RGB color space to the display device's native color space (RGBW or RGBCY), changing the color representation parameters to match the physical sub-pixel structure. This transformation adjusts how colors are encoded in terms of the available sub-pixels, enabling accurate luminance representation.
Solution Approach 2:
The patent performs luminance compensation by identifying saturated colors in the transformed image data and pre-adjusting their luminance values before display. By detecting saturation status and applying compensation in advance, the system prevents luminance distortion from occurring during the actual display process.
2Manufacturing precision
If luminance values are reduced to compensate for saturated colors, then luminance distortion is corrected, but the overall brightness of the displayed image may decrease
Solution Approach 1:
The patent applies luminance reduction selectively only to saturated colors rather than uniformly to all pixels. By identifying which specific color channels are saturated and compensating only those regions, the system maintains overall image brightness while correcting localized luminance distortion.
Solution Approach 2:
The patent applies compensation only when saturation is detected, rather than applying uniform compensation to all image data. This partial action approach ensures that luminance accuracy is improved for problematic areas without unnecessarily reducing the brightness of already-normal regions.
3Adaptability or versatility
If different numbers of sub-pixels are used to generate the same color on different display structures, then flexibility in display design is increased, but color consistency across display types deteriorates
Solution Approach 1:
The patent creates a universal color transformation framework that can adapt to multiple display structures (RGB, RGBW, RGBCY) using the same basic approach. The transformation process and luminance compensation mechanism work across different display types, making the system universally applicable while maintaining color consistency.
Solution Approach 2:
The patent transforms image data parameters from a standard RGB basis to match the specific sub-pixel composition of different display devices. By changing how color information is represented in terms of the actual physical sub-pixels available, the system maintains color consistency across different display architectures.
Data Source
AI summary
An image driving method includes receiving basic image data including a first set of primary colors. The basic image data is transformed into output image data including a second set of primary colors. Luminance values of the second set of primary colors of the output image data is reduced to compensate the luminance values of the second set of primary colors of the output image data when a luminance value of the first set of primary color of the basic image data is saturated. Image distortion is thereby minimized or prevented.