Image Processing Device Pixel Segmentation for Color Adjustment
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Solution Overview
Problem
Existing image color adjustment techniques do not adequately consider the generation of correspondence data for pixels in both photographic and non-photographic objects, such as text, leading to inadequate color conversion in images.
Innovation Solution
An image processing device generates separate correspondence data for photographic and non-photographic pixels, using a multifunction peripheral with a CPU, scanner, and printer to perform segmentation, ground-color correction, and color adjustment processes, ensuring appropriate conversion of pixel values based on the specific characteristics of each type of pixel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single correspondence data is used for all pixels in the image, then the device complexity is reduced, but the color adjustment accuracy deteriorates because it cannot distinguish between photographic and non-photographic pixels
Solution Approach 1:
The patent divides the image pixels into two distinct segments: photographic pixels and non-photographic pixels. Separate correspondence data structures are generated for each segment, allowing color adjustment to be optimized for each pixel type independently. This segmentation resolves the contradiction by improving color adjustment accuracy through type-specific processing while managing complexity through structured organization.
Solution Approach 2:
The patent applies different correspondence data characteristics to different regions (photographic vs. non-photographic areas). By generating correspondence data with appropriate properties for each pixel type, the system achieves locally optimized color adjustment, improving overall accuracy without requiring a completely complex unified system.
2Manufacturing precision
If separate correspondence data is generated for photographic and non-photographic pixels, then the color adjustment accuracy is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary classification of pixels into photographic and non-photographic categories before generating correspondence data. By pre-organizing pixels by type, the system avoids repeated classification during color adjustment, reducing overall processing time while maintaining accurate separate correspondence data generation for each pixel type.
3Manufacturing precision
If a unified color adjustment method is applied to all pixels, then the ease of operation is improved, but the color adjustment quality deteriorates due to lack of differentiation between pixel types
Solution Approach 1:
The patent implements automatic pixel classification and selection of appropriate correspondence data based on pixel type detection. The system self-determines whether each pixel is photographic or non-photographic and automatically applies the correct correspondence data, maintaining ease of operation without manual intervention while achieving high-quality differentiated color adjustment.
Data Source
AI summary
An image processing device includes a processor and a memory. The image processing device acquires target image data including each pixel value of a plurality of pixels. The image processing device extracts a plurality of photographic pixels and a plurality of non-photographic pixels from the plurality of the pixels in the target image. The image processing device generates photographic correspondence data. The image processing device generates non-photographic correspondence data. The image processing device converts an original pixel value of a pixel of the plurality of photographic pixels into a respective converted pixel value by using the photographic correspondence data. The image processing device converts an original pixel value of a pixel of the plurality of non-photographic pixels into a respective converted pixel value by using the non-photographic correspondence data.