Image Processing Apparatus Color Space Conversion
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Solution Overview
Problem
High-accuracy color reproduction in image processing for wider color spaces increases data volume, leading to higher communication bandwidth and processing loads, which is inefficient and resource-intensive.
Innovation Solution
An image processing apparatus that converts images from a wide color space with high bit depth to a narrower color space with lower bit depth, allowing for accurate color recognition and determination while reducing data volume, using a conversion unit, recognition units, and a control unit to manage the processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an image in a color space wider than the color space of standard specifications is used, then high-accuracy color reproduction is achieved, but the amount of data increases
Solution Approach 1:
The patent divides the image processing into two segments: a first color space conversion to a standard color space for general processing, and a second color space conversion to a wide color space only for specific recognition processing. This segmentation allows high-accuracy color reproduction to be achieved only where necessary, rather than for the entire image, thereby reducing overall data amount while maintaining color accuracy for critical analysis.
Solution Approach 2:
The patent applies different color space qualities to different parts of the processing pipeline. The standard color space (sRGB) is used for general image handling and transmission, while the wide color space (Adobe RGB) is applied locally only when color recognition processing is required. This local quality approach ensures high color accuracy is available when needed without unnecessarily increasing data volume throughout the entire system.
2Measurement precision
If an image in a color space wider than the color space of standard specifications is used, then high-accuracy color reproduction is achieved, but the processing load increases
Solution Approach 1:
The processing workflow is segmented into distinct stages: standard color space conversion for all images, followed by selective wide color space conversion only when recognition processing is required. This segmentation prevents the high computational burden of wide color space processing from being applied to every image, thereby maintaining processing efficiency while enabling high-accuracy color reproduction when needed.
Solution Approach 2:
The patent applies wide color space conversion partially rather than universally. Instead of converting all images to wide color space, the system performs standard color space conversion for all images and only applies the computationally intensive wide color space conversion partially - specifically when color recognition processing is required. This partial action approach maintains overall processing efficiency while achieving high color accuracy for critical tasks.
3Measurement precision
If an image in a color space wider than the color space of standard specifications is used, then high-accuracy color reproduction is achieved, but the occupied capacity of memory increases
Solution Approach 1:
The patent segments memory usage into two parts: standard color space data for general storage and wide color space data only for active recognition processing. By converting to wide color space only when needed and maintaining standard color space as the default, the system reduces the overall memory capacity required while ensuring high-accuracy color data is available when required for recognition tasks.
Data Source
AI summary
An image processing apparatus includes a conversion unit configured to convert an image in a first color space into an image in a second color space in such a manner that the image in the second color space has a bit depth smaller than a bit depth of the image in the first color space, a first recognition unit configured to perform first recognition processing using the image in the second color space, and a second recognition unit configured to perform second recognition processing on an image area that is determined to be the image area in which the second recognition processing is performed on the image in the first color space based on a result of the first recognition processing.