Dual Image Sensor Chrominance Luminance Separation
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Solution Overview
Problem
Conventional digital image capturing techniques using CMOS or CCD image sensors with color filter arrays result in reduced spatial resolution due to blending of values from different discrete locations, and fail to exploit the differences in human perception between chrominance and luminance information.
Innovation Solution
A system and method that utilize separate image sensors to capture chrominance and luminance data, allowing for the generation of a digital image by combining these data sets, thereby improving spatial resolution and dynamic range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional CMOS or CCD image sensors with color filter arrays are used, then the system structure is simple and easy to manufacture, but the spatial resolution is reduced due to blending of values from different discrete locations
Solution Approach 1:
The patent divides the image capture function into two separate image sensors: one dedicated to capturing luminance information and another to capturing chrominance information. This segmentation allows each sensor to be optimized for its specific function, with the luminance sensor achieving higher spatial resolution without being constrained by color filter requirements, thereby resolving the contradiction between manufacturing simplicity and spatial resolution
2Adaptability or versatility
If conventional image sensors with color filter arrays are used, then the device complexity is low, but the ability to exploit differences in human perception between chrominance and luminance information is lost
Solution Approach 1:
The patent applies local quality by assigning different functional characteristics to different parts of the imaging system. The luminance sensor is optimized with higher resolution and sensitivity for brightness detection, while the chrominance sensor is optimized for color detection. This localized optimization for different perceptual requirements enables the system to exploit human perception differences effectively while maintaining reasonable device complexity
3Manufacturing precision
If separate image sensors for chrominance and luminance data are used, then the quality and detail of digital images is improved, but the device complexity increases
Solution Approach 1:
The patent extracts the chrominance and luminance capture functions into separate image sensors, allowing each sensor to be independently optimized for its specific purpose. The luminance sensor can achieve higher resolution and better dynamic range without being compromised by color filter requirements, while the chrominance sensor focuses on color accuracy. This extraction resolves the contradiction by enabling superior image quality while keeping the overall system complexity manageable through functional specialization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The approach enables the creation of digital images with better quality and detail by accurately capturing and combining chrominance and luminance information, addressing the limitations of conventional techniques.
Implementation Method 1
a first image sensor receives a first image and a second image, where the first image sensor detects wavelengths of a visible spectrum
Implementation Method 2
a second image sensor receives a third image and a fourth image, where the second image sensor detects wavelengths of a non-visible spectrum
Data Source
AI summary
A system, method, and computer program product for generating a digital image is disclosed. In use, a first image and a second image are received from a first image sensor, where the first image sensor detects wavelengths of a visible spectrum. A third image and a fourth image are received from a second image sensor, where the second image sensor detects wavelengths of a non-visible spectrum. Using an image processing subsystem, a resulting image is generated by combining one of the first image or the second image, with one of the third image or the fourth image.