Pseudo Coloring Single-Channel Images via Multi-Histogram Equalization
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Solution Overview
Problem
Existing methods for pseudo coloring single-channel images, such as histogram equalization, often result in loss of information due to reduced color depth, limiting the ability to enhance image contrast and remove noise effectively.
Innovation Solution
The method transforms a single-channel image into a multi-channel image by performing multiple histogram equalizations, each channel representing a component of a color model, allowing for higher color depth and reduced information loss, enabling enhanced contrast and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If histogram equalization is applied to a single-channel image, then image contrast is enhanced, but information is lost due to reduced color depth
Solution Approach 1:
The patent segments the single intensity channel into multiple channels (e.g., luminance and chrominance components) and applies different histogram equalization strategies to each segment. This allows contrast enhancement in the luminance channel while preserving color information in the chrominance channels, thereby resolving the contradiction between contrast enhancement and information loss.
Solution Approach 2:
The patent transforms the single-channel image into a multi-channel image by introducing additional dimensions (color channels). This dimensional expansion allows the system to enhance contrast in one channel without compromising the information content in other channels, thus maintaining both high contrast and high color depth simultaneously.
2Ease of operation
If pseudo coloring with direct mapping is applied, then color presentation is simplified, but color depth is reduced to 255 colors
Solution Approach 1:
The patent segments the color mapping process into multiple independent channels, each capable of maintaining full color depth. Instead of applying a single direct mapping that reduces all pixels to 255 colors, the system applies separate processing to multiple channels, preserving the full range of color information while still providing simplified pseudo-color presentation.
Solution Approach 2:
The patent creates a composite color representation by combining multiple channels with different color characteristics. This composite approach allows the system to maintain high color depth by preserving information across multiple channels while still achieving the simplified visual presentation desired in pseudo-coloring applications.
Data Source
AI summary
A method for pseudo coloring of a digital single-channel image is disclosed. The method comprises acquiring a single-channel image having an intensity distribution, forming a first channel of a multi-channel image by performing a first histogram equalization of the intensity distribution, forming a second channel of the multi-channel image by performing a second, different, histogram equalization of the intensity distribution, wherein the first channel and the second channel of the multi-channel image represent different components of a color model. An arrangement for providing a pseudo coloring of a digital single-channel image is also disclosed, and a monitoring thermal camera system comprising such an arrangement.


