Digital Imaging Device Simulation Using Spectral Sensitivity
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Solution Overview
Problem
Current digital imaging device simulation systems fail to accurately and efficiently reproduce the output of real imaging devices, particularly in automotive applications, where image data must match real-time conditions and streaming rates, leading to inaccuracies in testing algorithms used in advanced driver assistance systems.
Innovation Solution
A computer-implemented method simulates a digital imaging device by converting pixel data from an input color space to an output color space using spectral sensitivities of the device's color filter array, allowing for accurate reproduction of nonlinearities and efficient computation, independent of the input color space, enabling parallel processing and memory-efficient storage of spectral sensitivities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If simulation systems use simple color space conversion, then computing time is reduced, but accuracy of reproducing imaging device output deteriorates
Solution Approach 1:
The patent transforms pixel data from an input color space to an output color space by changing color parameters through spectral sensitivity modeling. This allows accurate reproduction of imaging device output while maintaining computational efficiency by working with pre-defined spectral sensitivity functions rather than complex real-time physics simulations.
Solution Approach 2:
The patent introduces spectral sensitivity functions as an intermediary between the input color space and the imaging device output. These spectral sensitivity functions act as a mediator that converts input pixel data into accurate output data representing the imaging device's color filter array response, avoiding direct complex simulation while ensuring accuracy.
2Reliability
If simulation systems accurately reproduce imaging device output, then testing reliability is improved, but computing complexity increases
Solution Approach 1:
The patent creates a computational model that copies the essential color transformation behavior of the imaging device. By replicating the spectral sensitivity characteristics in a simplified mathematical model, the system achieves reliable testing without requiring complex simulations of the actual imaging hardware physics.
Solution Approach 2:
The patent segments the color transformation process into distinct components: input color space conversion, spectral sensitivity application, and output color space transformation. This segmentation allows each component to be optimized independently, reducing overall computing complexity while maintaining testing reliability.
3Productivity
If simulation systems process image data at real-time streaming rates, then applicability to real conditions is improved, but computational resources required increase
Solution Approach 1:
The patent replaces complex physical simulation mechanisms with mathematical color space transformations. By substituting physical optics simulations with spectral sensitivity function evaluations, the system achieves real-time processing rates while significantly reducing computational resource requirements.
Solution Approach 2:
The patent performs preliminary computation by pre-defining spectral sensitivity functions and color space transformation matrices. This preliminary action allows the actual image processing to proceed at real-time streaming rates without requiring heavy computational resources during execution, as the complex transformations are already prepared in advance.
Data Source
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AI summary
The present disclosure is directed at a computer implemented method for simulating a digital imaging device capturing a scene, the imaging device comprising a color filter array and an output channel for each primary color of the color filter array: - providing an image of the scene containing pixel data for a pixel of the digital imaging device, the pixel data being specified in an input color space, wherein reference color stimuli of the input color space differ from the primary colors of the color filter array of the digital imaging device, - determining a luminance value of the pixel data, - assigning at least one spectral color to the pixel data, - calculating a color dependent output value of the pixel data for each output channel, and - providing the calculated output values of the pixel data as output data of the pixel of the imaging device.