SLM Bit-Plane Color Processing for Lower Dither Noise
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Solution Overview
Problem
Existing display systems face challenges in efficiently converting primary display signals to multi-primary display signals, particularly when using spatial light modulators with additional color segments, which can introduce dither noise and reduce image quality due to brightness differences.
Innovation Solution
A system and method that includes a control processor to convert primary video signals to multi-primary video signals, using additive offsets and bit planes to control pixel elements of a spatial light modulator, optimizing the use of a color wheel with additional segments to enhance color gamut and reduce dither noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a color wheel with additional segments is used to expand color gamut, then color palette is enhanced, but dither noise increases due to brightness differences
Solution Approach 1:
The system performs preliminary calculations to determine additive offsets for each primary video signal based on the multi-primary video signals before generating the bit plane. This pre-computation of offset values allows the system to compensate for brightness differences among color segments before they are applied to the spatial light modulator, thereby reducing dither noise while maintaining the expanded color gamut benefits of additional color wheel segments
Solution Approach 2:
The system changes the brightness parameters of individual primary video signals by adding calculated offsets to each signal. This parameter adjustment equalizes the effective brightness contribution of each color segment, allowing the color wheel with additional segments to expand the color palette without introducing noticeable dither noise from brightness mismatches
2Adaptability or versatility
If primary video signals are converted to multi-primary video signals, then color gamut is enhanced, but processing complexity increases
Solution Approach 1:
The conversion process is segmented into distinct operational stages: receiving M primary video signals, converting them to N multi-primary video signals, calculating additive offsets for each primary signal, and generating the final bit plane. This segmentation of the processing workflow allows each stage to be optimized independently, managing the overall complexity while achieving enhanced color gamut through the multi-primary conversion
3Object-affected harmful factors
If additive offsets are calculated and applied to primary video signals, then dither noise is reduced, but computational load increases
Solution Approach 1:
The system uses the multi-primary video signals themselves to generate the additive offsets required for compensating brightness differences. By deriving the offset values from the same multi-primary signals that define the expanded color gamut, the system eliminates the need for separate reference measurements or external calibration data, reducing computational overhead while maintaining effective dither noise reduction
Data Source
AI summary
A system includes a spatial light modulator (SLM) and a circuit including a processor. The SLM includes pixel elements. The circuit is configured to convert M primary video signals to N multi-primary video signals. The circuit is configured to use a first multi-primary video signal to derive a first additive offset to a first primary video signal, to use the first multi-primary video signal to derive a second additive offset to a second primary video signal of the M primary video signals, to add the first additive offset to the first primary video signal, to add the second additive offset to the second primary video signal, and to derive a bit plane based on the first primary signal having the first additive offset added thereto and to transmit the bit plane to the SLM to selectively control on and off states of the pixel elements of the SLM.