3D Dither Mask for Uniform Image Quality on Curved Surfaces
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Solution Overview
Problem
Existing image processing technologies are unable to effectively form images on three-dimensional surfaces with varying planes, leading to graininess and deteriorated image quality due to the use of two-dimensional dither masks that fail to adapt to non-parallel planes.
Innovation Solution
A three-dimensional dither mask with threshold values that have a specific spatial frequency characteristic, allowing for the formation of images on surfaces with different planes by controlling the distribution of high and low frequency components, ensuring optimal dot placement and image quality across various orientations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a two-dimensional dither mask is used for image processing, then the processing is simple and compatible with existing systems, but the image quality deteriorates on three-dimensional surfaces with varying planes
Solution Approach 1:
The patent transitions from two-dimensional dither masks to three-dimensional dither masks to address the limitations of processing images on three-dimensional surfaces. By adding the depth dimension (Z-axis) to the dither mask structure, the system can properly handle surfaces with varying planes and orientations, resolving the image quality deterioration problem while maintaining computational feasibility through the structured 3D approach.
Solution Approach 2:
The patent applies different dither mask parameters and frequency characteristics to different regions and orientations of the three-dimensional surface. By adapting the dither mask properties locally to match the specific plane orientation and surface characteristics, the system optimizes image quality for each local region rather than using a uniform approach, thereby improving overall image representation on complex three-dimensional geometries.
2Device complexity
If a two-dimensional dither mask is used, then the device complexity remains low, but graininess occurs and image quality deteriorates on non-parallel planes
Solution Approach 1:
The patent introduces a three-dimensional dither mask structure that incorporates the Z-axis dimension to properly address graininess on three-dimensional surfaces. This dimensional extension allows the dither mask to account for surface orientation variations and prevent the graininess effect that plagues two-dimensional approaches, while the structured nature of the 3D mask keeps computational complexity manageable.
Solution Approach 2:
The patent modifies the frequency characteristics and threshold value distribution of the dither mask to suppress graininess. By adjusting the spatial frequency components and adapting the threshold values according to the three-dimensional surface geometry, the system eliminates the graininess harmful effect while maintaining a relatively simple processing framework.
3Ease of operation
If existing image processing techniques are used on three-dimensional surfaces, then the processing method is simple, but the image representation becomes non-uniform and unclear
Solution Approach 1:
The patent employs a three-dimensional dither mask that incorporates depth information (Z-axis) to achieve uniform and clear image representation across three-dimensional surfaces. This dimensional enhancement allows the processing method to account for surface orientation and geometry variations, ensuring consistent image quality across different planes while maintaining operational simplicity through the unified 3D processing framework.
Solution Approach 2:
The three-dimensional dither mask serves multiple functions simultaneously: it handles dot placement optimization, frequency characteristic control, and orientation-independent image quality maintenance. This multi-functional approach enables a single processing method to achieve uniform and clear image representation across various three-dimensional surface geometries without requiring separate processing pipelines for different surface types.
Data Source
AI summary
Wherein, in the first dither mask, when the first space is cut by the first plane, a plurality of threshold values in the first plane has a blue noise characteristic in the spatial frequency domain, and when the first space is cut by a second plane extending in a direction different from that of the first plane, a plurality of threshold values in the second plane has a blue noise characteristic in the spatial frequency domain.