Binary Image Sensor Data Compression via Pixel Density Encoding
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Solution Overview
Problem
Binary image sensors produce large data sizes due to their binary nature, making storage and processing impractical, especially since each detector can only be in one of two states, leading to difficulties in achieving a sufficient signal-to-noise ratio.
Innovation Solution
Encoding binary digital images into parameter arrays that represent the relative density and distribution of exposed pixels, allowing for significant data reduction by converting these parameters back into output images with spatially non-uniform image elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If binary image sensors are used to capture images, then color aliasing problems are avoided, but the data size becomes excessively large making storage and processing impractical
Solution Approach 1:
The patent extracts only the essential information from binary images by calculating average density values and applying filters to represent entire pixel groups with single values. This extraction approach retains the aliasing-free advantage while dramatically reducing data size by storing only representative values rather than complete binary image data.
Solution Approach 2:
The patent transforms binary image data into a different parameter representation system using density values and filter responses. By changing from storing raw binary pixel values to storing processed density and filter parameters, the system achieves both aliasing avoidance and data compression.
2Reliability
If multiple exposures and read-outs are performed to achieve sufficient signal-to-noise ratio, then image quality improves, but the time required for image capture and processing increases
Solution Approach 1:
The patent performs preliminary processing by calculating average density values and applying filters during the image capture process itself. This preliminary action allows subsequent processing to work with pre-processed data that already has improved signal-to-noise characteristics, reducing the need for multiple exposures and read-outs.
3Loss of information
If binary digital images are stored or transferred as such, then complete image information is preserved, but the memory and transmission requirements become prohibitively large
Solution Approach 1:
The patent creates a compressed representation (copy) of the binary image data using density values and filter responses. This copy contains the essential information needed for image reconstruction and analysis while occupying minimal storage space compared to the original binary image data.
Data Source
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AI summary
A method for processing image data comprises determining a set of parameters (DM1, MM1, NM1 ) based on a binary digital image (IMG1 ) such that said set of parameters comprises information about the density (D) of white and/or black pixels (P1 ) of a first group of pixels (G) of said binary digital image (IMG1 ), and information about the density (D) of white and/or black pixels (P1 ) of a second group of pixels (G) of said binary digital image (IMG1 ).