Dodging Processing Composite Low-Frequency Image Size Optimization
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Solution Overview
Problem
Existing image processing methods for dodging correction generate composite low-frequency images with excessive pixel counts, leading to wasteful processing and performance issues on hardware with limited calculation capabilities, such as low-cost inkjet printers or large-scale print systems.
Innovation Solution
An image processing apparatus and method that generates a composite low-frequency image with the minimum necessary size based on print setting information, reducing calculation processing by determining the optimal size for the composite low-frequency image and using it for dodging processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If dodging processing is performed on the output image using a composite low-frequency image having the same size as the input image, then the border edges between object and background are preserved, but the calculation processing amount increases excessively and memory usage increases
Solution Approach 1:
The patent changes the size parameter of the composite low-frequency image from full input image size to a reduced size based on print settings. This parameter change maintains the essential border edge information needed for dodging processing while significantly reducing the number of pixels that require calculation and memory storage, thus resolving the contradiction between precision and productivity
2Productivity
If the size of composite low-frequency image is reduced to match output image size, then calculation processing amount is reduced, but the border edge information may be insufficient for accurate dodging processing
Solution Approach 1:
The patent applies local quality by generating blurry images at multiple resolution levels and selectively compositing them. Instead of uniformly reducing the entire composite low-frequency image size, it maintains higher resolution in regions where border edges are critical while reducing resolution in less critical areas, thus preserving dodging accuracy while improving processing efficiency
3Loss of information
If filtering processing is performed on the whole input image to generate composite low-frequency image, then complete border edge information is obtained, but wastefulness occurs in filtering processing and composite processing
Solution Approach 1:
The patent extracts only the essential border edge information needed for dodging processing by generating composite low-frequency images at reduced sizes based on print settings. Instead of performing filtering on the entire input image, it extracts and processes only the necessary regions and resolution levels, eliminating wasteful processing while preserving critical border edge information
Data Source
AI summary
When printing by generating a composite low-frequency image based on an input image, performing dodging processing, and changing a size of the input image to an output image size, if the output image size is much smaller than the input image size, wastefulness occurs in the composite processing of the low-frequency image, and the overall performance of the printing process deteriorates. To solve these problems, a plurality of blurry images having a different blurriness level from an input image are generated, print setting information to be used in printing of the input image is input, a size of a composite low-frequency image is calculated based on the print setting information, a composite low-frequency image is generated in the calculated size from the plurality of blurry images, and dodging processing is performed on the input image using the generated composite low-frequency image.