Thermal Camera Super-Resolution via Contrast Analysis
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Solution Overview
Problem
Existing thermal imaging cameras face challenges in improving image resolution without increasing the cost of infrared sensors, and real-time applications are hindered by insufficient contrast leading to image degradation.
Innovation Solution
A method that analyzes the contrast of image data from a thermal imaging camera and applies super-resolution algorithms only when sufficient contrast is detected, ensuring that the image resolution is enhanced effectively without degrading the image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If super-resolution algorithms are applied to enhance image resolution, then the number of pixels and detail are improved, but image quality degrades when contrast is insufficient
Solution Approach 1:
The patent implements a dynamic contrast analysis mechanism that evaluates image contrast in real-time before applying super-resolution algorithms. The system adapts its processing approach based on the measured contrast level, switching between different enhancement strategies or disabling processing when conditions are unfavorable, thus maintaining image quality while improving resolution when possible
Solution Approach 2:
The patent introduces a feedback loop where the contrast of the input image is analyzed and used to control the application of super-resolution algorithms. The system continuously monitors contrast metrics and adjusts its processing behavior accordingly, ensuring that resolution enhancement is only applied when it will not compromise image quality
2Measurement precision
If higher resolution infrared sensors are used to improve image quality, then more details can be seen, but the price of components increases
Solution Approach 1:
The patent changes the parameter of image resolution not through hardware modification but through algorithmic processing. By applying super-resolution algorithms that reconstruct missing pixel information based on patterns and correlations in the image data, the system achieves higher effective resolution from lower-resolution sensors, avoiding the need for expensive high-resolution infrared sensors
Solution Approach 2:
The patent replaces the mechanical/optical approach of using higher-resolution physical sensors with a computational approach using super-resolution algorithms. Instead of relying on more expensive sensor hardware, the system uses software-based image processing to synthesize higher-resolution images from lower-resolution input, substituting computational complexity for hardware complexity
Data Source
AI summary
A process for applying a method for increasing a resolution of an image of a thermal imaging camera includes (i) providing image data, wherein the image data comprises a defined number of images, wherein the images are regular camera images and/or thermal images, and wherein the image data is captured by the thermal imaging camera, (ii) analyzing a contrast in the image data, and (iii) initiating the application of the method for increasing the resolution as a function of a result of the analysis of the contrast in the image data. A computer program, a device, and a storage medium for this purpose is also disclosed.