Image Processing System Gamut Conversion Compression
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Solution Overview
Problem
Current image processing systems face challenges in achieving excellent color reproducibility and fast transmission, particularly when converting image data gamut for different purposes, as existing methods either fail to reproduce missing gamut parts or result in increased data volume due to raw data transmission.
Innovation Solution
An image processing system that includes an image pickup device capable of creating and compression-coding image data with a first gamut, and an image processing device that decodes and converts the data into a second gamut, where the first gamut encompasses the second, using compression-coding and metadata transmission to maintain color reproducibility and reduce data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RAW data is transmitted via medium or communication to an image processing device, then the gamut and gamma for image data can be selected at will when developing the image data, but the volume of transmitted data becomes large and speed enhancement is hindered
Solution Approach 1:
The image pickup device performs preliminary development of RAW data into image data with a first gamut that encompasses all possible second gamuts before transmission. This preliminary action allows the transmitted data to be in a compressed, development-ready format rather than raw, reducing transmission volume while preserving full gamut flexibility for the receiving device to convert to any desired second gamut.
2Manufacturing precision
If image data output from an image pickup device is converted into image data having gamut wider than the gamut of the output image data, then color reproducibility is improved, but the gamut part that is already lacked from RAW data cannot be reproduced
Solution Approach 1:
The system performs preliminary development of RAW data into image data with a first gamut that is deliberately designed to encompass all possible second gamuts required by different applications. This ensures that no gamut information is lost during transmission, as the first gamut already contains all the color information needed for any subsequent conversion to a second gamut, enabling perfect color reproducibility.
Solution Approach 2:
The first gamut is designed with universal coverage to serve multiple different second gamut requirements (television, projector, video film, printing, etc.). By creating image data with a gamut that encompasses all possible target gamuts, the system makes the transmitted data universally applicable to any purpose without losing color information, allowing each receiving device to convert to its specific required gamut with full color accuracy.
3Manufacturing precision
If image data is developed with a first gamut that encompasses all possible second gamuts, then color reproducibility for any purpose is improved, but the data volume increases
Solution Approach 1:
The system changes the parameter of gamut scope to a first gamut that encompasses all possible second gamuts, but simultaneously applies compression coding to the developed image data. This parameter change approach allows the system to maintain full color information for any potential second gamut conversion while reducing the actual data volume through compression, thus achieving both high color reproducibility and efficient data transmission.
Data Source
AI summary
An imaging processing system includes an image pickup device that has circuitry which creates, from raw image data, image data including a first gamut, and compression-codes the image data including the first gamut to generate compression-coded image data. The system also includes an image processing device that has circuitry which decodes the compression-coded image data to generate uncompressed image data, which includes the first gamut. The circuitry of the image processing device also converts the uncompressed image data including the first gamut into image data including a second gamut, where the first gamut encompasses the second gamut.