Per-Pixel Correction Function for Display Color Accuracy
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Solution Overview
Problem
Existing camera-based projection-surface color correction methods fail to accurately adjust projected images to match the Human Visual System (HVS) model, leading to color discrepancies when projecting onto non-white or multicolored surfaces.
Innovation Solution
A system comprising a controller, a display device, and a camera that determines a per-pixel correction function based on the predetermined color-relationship between the camera and the HVS model, allowing the display device to project images in the correct color space as perceived by the HVS, even on non-white or multicolored surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based color correction methods are used to adjust projected images, then the images appear correct from the camera's perspective, but the colors do not match the Human Visual System model when viewed by human observers
Solution Approach 1:
The patent introduces an intermediary transformation process that converts camera color space measurements to HVS model color space. A color conversion module applies a transformation matrix to map camera-detected colors to the CIE 1931 color space, serving as a mediator between the camera's color perception and human visual system expectations.
Solution Approach 2:
The system changes the color space parameters by applying a mathematical transformation matrix that converts color values from camera space to HVS model space. This parameter transformation allows the system to maintain camera-based measurement simplicity while achieving HVS-accurate color output through coordinate space conversion.
2Ease of manufacture
If standard camera-based correction is applied, then the correction process is simple and quick, but color accuracy on non-white or multicolored surfaces deteriorates
Solution Approach 1:
The color conversion module acts as an intermediary that handles the complexity of color space transformation while maintaining a simple system architecture. The transformation matrix serves as a pre-computed intermediary that encapsulates the complexity of colored surface correction, allowing the system to remain easy to implement while achieving accurate results on multicolored surfaces.
Solution Approach 2:
The system performs preliminary color space transformation by pre-computing the transformation matrix that maps camera colors to HVS model colors. This preliminary action of color space conversion is applied automatically during the correction process, enabling the system to handle colored surfaces accurately without requiring complex real-time adjustments.
3Ease of operation
If projector output is adjusted to match camera sensitivity, then the correction process is straightforward, but the displayed colors do not correspond to actual human perception
Solution Approach 1:
The transformation matrix serves as a mathematical intermediary that bridges the gap between camera sensitivity and human visual perception. By applying this intermediary transformation, the system maintains the simplicity of camera-based adjustment while ensuring that the final displayed colors correspond to actual human perception through color space conversion.
Solution Approach 2:
The system changes the color parameters by applying a transformation matrix that converts from camera color space to HVS model color space. This parameter transformation allows straightforward projector adjustment while ensuring the output colors match human visual perception, as the transformation encapsulates the differences between camera and human color response.
Data Source
AI summary
A device, system and method for photometric compensation of images provided by a display device. A display device is controlled to provide colors, the display device configured to provide images according to the colors of the display device. A camera acquires respective images of the colors provided by the display device. A per-pixel correction function for modifying image data used by the display device to provide the images is determined based on: the respective images of each of the colors acquired by the camera corrected into the HVS model using a predetermined color-relationship between the camera and a Human Visual System (HVS) model for the colors of the display device. The display device is controlled to provide the images using the image data as corrected using the per-pixel correction function.