Image Processing Apparatus Dynamic Light Source Spectral Data
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Solution Overview
Problem
The existing color transformation processes in video production, such as those defined by AMPAS-IIF, face challenges in accurately transforming video data from various light sources, leading to color deviations and inefficiencies in editing processes, especially when light sources change during shooting, as they rely on pre-defined matrix coefficients that may not match actual shooting conditions.
Innovation Solution
An image processing apparatus that inputs image data and spectral imaging data to generate and append information about the light source in the shooting scene, allowing for accurate color transformation to the ACES color space by calculating a color transformation matrix based on spectral characteristics, thereby addressing mismatches between assumed and actual light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-defined matrix coefficients based on representative light sources are used for input device transform, then the processing mechanism is simple and standardized, but the transformation accuracy decreases when the actual light source does not match the pre-defined types
Solution Approach 1:
The patent changes the parameter of light source information from fixed pre-defined values to dynamic spectral data. By obtaining actual spectral characteristics of the light source in the shooting scene and calculating corresponding matrix coefficients, the system adapts to any light source condition, resolving the contradiction between simple processing and accurate transformation.
Solution Approach 2:
The patent introduces feedback by measuring the actual light source spectral characteristics in the shooting scene and using this information to calculate appropriate matrix coefficients. This closed-loop approach ensures that the transformation accuracy is maintained by continuously adapting to the actual lighting conditions.
2Productivity
If one set of matrix coefficients is applied to one video data, then the processing is simple and efficient, but the transformation accuracy decreases when light source changes in a series of scenes
Solution Approach 1:
The patent makes the matrix coefficients dynamic by calculating them based on the actual spectral characteristics of the light source at the time of shooting. Instead of using a static pre-defined matrix, the system dynamically generates the appropriate matrix coefficients for each scene, maintaining both efficiency and accuracy.
Solution Approach 2:
The patent performs preliminary action by obtaining spectral imaging data and calculating matrix coefficients during the shooting process itself. This preliminary calculation ensures that the correct transformation parameters are ready before post-processing, maintaining processing efficiency while adapting to actual lighting conditions.
3Measurement precision
If spectral imaging data is obtained and actual light source characteristics are calculated, then the color transformation accuracy is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent achieves universality by using spectral imaging data that can capture any light source characteristics. The system is designed to handle various lighting conditions (sunlight, fluorescent, LED, etc.) through a unified approach of spectral measurement and matrix coefficient calculation, improving accuracy without requiring separate processing paths for different light sources.
Data Source
AI summary
Image data, and spectral imaging data of shooting scene of the image data are inputted. Information relating to a light source of the shooting scene is generated based on the spectral imaging data. The information relating to the light source is appended to the image data.