Infrared image non-uniformity correction method based on scene inter-frame registration
A non-uniformity correction, infrared image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of image degradation, slow convergence rate, and inability to obtain good image quality
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0056] combine figure 2 , the infrared detector collects the infrared image of the mountain at night at high altitude, and the image size is 320×256;
[0057] Step 1. After the original analog image collected by the infrared detector is converted by A / D, the original digital image is obtained;
[0058] Step 2. Correct the original digital image to obtain the output pixel matrix Y of the n-1th frame after correction n-1 (i, j) and the output pixel matrix Y of the nth frame after correction n (i, j), the correction formula is as follows:
[0059]
[0060] Step 3. Determine the output pixel matrix Y of the n-1th frame after the above correction n-1 The average value of (i, j): the output pixel matrix Y of the n-1th frame after statistical correction n-1 (i, j), and find its average average n , n represents the frame number;
[0061] Step 4. Output the pixel matrix Y for the n-1th frame after correction n-1 The pixel value y of each pixel point of (i, j) n-1 Adjust res...
Embodiment 2
[0080] combine image 3 , the infrared detector collects the infrared image of the overpass shot at night at high altitude, and the image size is 320×256;
[0081] Step 1. After the original analog image collected by the infrared detector is converted by A / D, the original digital image is obtained;
[0082] Step 2. Correct the original digital image to obtain the output pixel matrix Y of the n-1th frame after correction n-1 (i, j) and the output pixel matrix Y of the nth frame after correction n (i, j), the correction formula is as follows:
[0083]
[0084] Step 3. Determine the output pixel matrix Y of the n-1th frame after the above correction n-1The average value of (i, j): the output pixel matrix Y of the n-1th frame after statistical correction n-1 (i, j), and find its average average n , n represents the frame number;
[0085] Step 4. Output the pixel matrix Y for the n-1th frame after correction n-1 The pixel value y of each pixel point of (i, j) n-1 Adjust ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com