Image Processing Device Resolution Conversion Thinning
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Solution Overview
Problem
Existing image processing technologies fail to reproduce images accurately when rasterized at different resolutions, leading to variations in object size due to thickening issues during resolution conversion and thinning processes.
Innovation Solution
An image processing device and method that includes a rasterizing section, a resolution converting section, and a thinning section, where the resolution converting section adjusts pixel values to standard resolution and the thinning section increases thinning strength for images rasterized at higher resolutions to maintain image integrity across different rasterization resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image data is rasterized at lower resolution to reduce data amount and processing time, then processing efficiency is improved, but the image quality and definition deteriorate
Solution Approach 1:
The patent changes the resolution parameter during processing - rasterizing at lower resolution for efficiency, then converting back to higher resolution for quality. This dynamic parameter adjustment resolves the contradiction between processing speed and image definition.
2Measurement precision
If resolution conversion is performed from lower to higher resolution, then image definition is improved, but object thickening occurs
Solution Approach 1:
The patent applies preliminary anti-action by performing thinning processing before or during resolution conversion to counteract the thickening effect. This pre-emptive measure compensates for the shape distortion that would otherwise occur during upscaling.
3Manufacturing precision
If thinning strength is increased to compensate for thickening, then object size accuracy is improved, but image quality deteriorates due to over-thinning
Solution Approach 1:
The patent makes the thinning strength dynamic rather than fixed - it adjusts the thinning amount based on the resolution conversion ratio. When converting from lower to higher resolution, thinning is applied; when maintaining or reducing resolution, thinning is reduced or omitted. This dynamic adjustment resolves the contradiction between size accuracy and image quality.
Data Source
AI summary
An image forming device includes: a rasterizing section, a resolution converting section and a thinning section. The rasterizing section generates, by rasterization, image data having any one of standard resolution, resolution higher than the standard resolution and resolution lower than the standard resolution. The resolution converting section converts the resolution upon rasterization for the generated image data having the higher or lower resolution than the standard resolution into the standard resolution. The thinning section thins the image data having the standard resolution. When thinning the image data of which the resolution is converted higher than upon rasterization in the resolution converting section, the thinning section adjusts thinning strength to become larger upon thinning than when thinning the image data of which the resolution upon rasterization is kept as it is.