Color Space Conversion Circuitry for Image Reproduction Accuracy
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Solution Overview
Problem
Color imaging devices face inaccuracies in image reproduction due to increased sensitivity of some interpolation regions, leading to processing complexities and hardware requirements in color space conversion.
Innovation Solution
A color imaging device with interface circuitry, color space conversion circuitry, and an image engine that converts color image data from an initial color space to multiple output color space representations, using pixel identifiers to control processing and interpolation, allowing for efficient conversion and reduced errors by compressing insensitive regions and expanding sensitive regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If color space conversion uses interpolation with multiple interpolation regions, then processing complexity and hardware requirements are reduced, but some interpolation regions have increased sensitivity leading to increased inaccuracies in resultant images
Solution Approach 1:
The patent applies local quality by differentiating processing approaches for different interpolation regions. Sensitive regions use one conversion method while insensitive regions use another, optimizing both accuracy and efficiency for each specific area of the color space.
Solution Approach 2:
The patent changes parameters by using pixel identifiers to determine which color space conversion method to apply. This allows dynamic adjustment of conversion accuracy based on the specific pixel type and interpolation region, rather than using a uniform approach throughout.
2Device complexity
If color space conversion uses interpolation with multiple interpolation regions, then hardware requirements are reduced, but some interpolation regions have increased sensitivity leading to increased inaccuracies in resultant images
Solution Approach 1:
The patent applies local quality by differentiating processing approaches for different interpolation regions. Sensitive regions use one conversion method while insensitive regions use another, optimizing both accuracy and efficiency for each specific area of the color space.
Solution Approach 2:
The patent changes parameters by using pixel identifiers to determine which color space conversion method to apply. This allows dynamic adjustment of conversion accuracy based on the specific pixel type and interpolation region, rather than using a uniform approach throughout.
3Productivity
If color space conversion is optimized to reduce processing complexity, then processing speed increases, but image reproduction accuracy decreases due to interpolation sensitivities
Solution Approach 1:
The patent applies local quality by differentiating processing approaches for different interpolation regions. Sensitive regions use one conversion method while insensitive regions use another, optimizing both accuracy and efficiency for each specific area of the color space.
Solution Approach 2:
The patent applies partial action by applying full precision conversion only where necessary (in sensitive regions) while using simplified conversion in insensitive regions. This partial application of complex processing maintains accuracy where needed while improving overall processing speed.
Data Source
AI summary
Color imaging devices, color imaging methods, and color separation methods are described. According to one embodiment, a color imaging device includes interface circuitry configured to access color image data of an initial color space for a plurality of pixels, color space conversion circuitry coupled with the interface circuitry and configured to convert the color image data for some of the pixels from the initial color space to a first output color space representation and to convert the color image data for others of the pixels from the initial color space to a second output color space representation different than the first output color space representation, and an image engine coupled with the color space conversion circuitry and configured to form a color image using the color image data of the first and the second output color space representations.


