Multi-Camera Color Correction With Compression-Aware Image Sampling
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Solution Overview
Problem
Existing systems face challenges in maintaining color consistency across images captured by multiple cameras with different models, manufacturers, or recording modes, leading to burdensome manual adjustments and potential color inaccuracies due to varying compression ratios.
Innovation Solution
An information processing apparatus that determines the number of images to be captured by each camera based on imaging parameters, acquires color information, and generates a lookup table (LUT) for color correction, using a network to synchronize color across multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If color correction data is created based on a captured image of a single frame, then the workflow is simple and fast, but color correction accuracy deteriorates when the compression ratio is high
Solution Approach 1:
The system performs preliminary actions by capturing multiple images before final color correction is needed. These pre-captured images are used to create color correction data that accounts for compression artifacts, ensuring accurate color correction without requiring complex real-time adjustments during actual broadcasting.
Solution Approach 2:
The system captures more images than a single frame (multiple frames) to compensate for compression ratio issues. This excessive sampling allows the system to identify accurate color information even when individual compressed frames contain artifacts, thereby maintaining color correction accuracy while using a manageable number of additional images.
2Adaptability or versatility
If multiple cameras with different models and manufacturers are used, then the coverage and perspectives are diverse, but color consistency deteriorates
Solution Approach 1:
The system introduces color correction data as an intermediary element that mediates between different camera systems. This intermediary transforms the color output from various camera models and manufacturers into a unified color space, allowing diverse camera hardware to produce consistent color results without requiring the cameras themselves to be identical.
Solution Approach 2:
The system changes color parameters by capturing images under different conditions (multiple frames) and using these to generate correction data that adjusts color values. This parameter transformation allows the system to compensate for inherent color differences between camera models, achieving consistency across diverse hardware while maintaining the versatility of using multiple cameras.
3Quantity of substance
If the compression ratio is increased to reduce data size, then transmission efficiency is improved, but color accuracy deteriorates
Solution Approach 1:
The system performs preliminary color correction by capturing multiple images before compression artifacts severely impact color accuracy. This preliminary data collection allows the system to create correction data that compensates for compression, maintaining color accuracy even when the final transmitted data is highly compressed.
Solution Approach 2:
The system uses the relationship between compression ratio and color accuracy as feedback to determine how many images to capture. By monitoring compression effects, the system adjusts the number of pre-captured images needed to achieve sufficient color correction accuracy, optimizing the balance between data size and color fidelity.
Data Source
AI summary
An information processing apparatus acquires imaging parameters of a first imaging apparatus and a second imaging apparatus, and based on the imaging parameters, determines a number of first images to be captured by the first imaging apparatus and a number of second images to be captured by the second imaging apparatus. Further, the information processing apparatus acquires first color information included in the first images and second color information included in the second images, and based on the first color information and the second color information, generates color correction information for correcting a difference in color between the first and second images.