Ordered Dithering Matrix for Image Resolution Conversion
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Solution Overview
Problem
Existing methods for converting high-resolution digital images to lower resolution using ordered dithering require complex hardware and software systems, necessitating a more resource-efficient approach.
Innovation Solution
A method that generates output images with lower chromatic resolution by applying differently arranged dither matrices to selected groups of pixels in the starting image, utilizing the same threshold values but with varying spatial distributions for different color channels, allowing for efficient conversion without complex systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ordered dithering methods are used to convert high-resolution images to lower resolution, then image quality is maintained, but hardware and software resource demands increase
Solution Approach 1:
The patent uses a single dither matrix that is copied and applied multiple times to different color channels (RGB) and different groups of pixels. Instead of requiring separate complex processing systems for each channel, the same matrix structure is reused with different threshold values, significantly reducing hardware and software complexity while maintaining image quality
Solution Approach 2:
The dither matrix serves multiple functions simultaneously: it is used for all three color channels (R, G, B), processes multiple groups of pixels, and applies the same threshold comparison logic across different parts of the image. This multi-functionality eliminates the need for separate processing systems for each channel or pixel group
2Loss of information
If traditional ordered dithering methods are used to convert high-resolution images to lower resolution, then chromatic resolution is reduced as required, but processing time and computational resources increase
Solution Approach 1:
The image processing is divided into segments where a single dither matrix handles multiple color channels and pixel groups in parallel. By segmenting the processing into reusable matrix applications rather than sequential complex operations, the patent reduces overall processing time while achieving the required chromatic resolution reduction
Solution Approach 2:
The patent applies the dither matrix periodically across different color channels and pixel groups using a systematic pattern. This periodic application with fixed threshold values allows for optimized, repetitive processing that reduces computational overhead and processing time compared to non-repetitive complex processing
Data Source
AI summary
A dither matrix is applied to a high-resolution image to compare the value of each of the pixels that compose it with a threshold value of the matrix and to obtain an output value of the matrix (Dither matrix value) from each comparison. To each pixel value of the image there is applied an algorithm involving simple but displacement operation, namely shifts to the left and shifts to the right. The pixel values of a low-resolution image are output from the applied algorithm.