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Image Data Output and Common Algorithm Implementation of Infrared Imaging System

Author: ShiHaiQuan
Tutor: WangTao
School: Chongqing University
Course: Optical Engineering
Keywords: Infrared Imaging Image processing DSP USB MMC / SD
CLC: TH74
Type: Master's thesis
Year: 2008
Downloads: 206
Quote: 0
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Abstract


With the infrared detectors, especially the non-cooled infrared detectors in nearly 20 years of rapid development of infrared imaging technology in security, vehicles, aircraft and vessels, night vision, aerospace exploration, spaceborne and airborne remote sensing of the earth's surface, and environmental pollution monitoring, industrial temperature measurement as well as public security and fire civilian areas to be more widely used. As of 2000, the average annual growth rate of 20%. In order to facilitate the understanding and learning infrared imaging technology, design a set of \Infrared image signal-to-noise ratio than the infrared focal plane array thermal imaging system is the temperature difference between the imaging scene, the background temperature is high, the temperature difference between the target and background is small, resulting infrared images with high background, low contrast, resulting in is low. Therefore, the infrared image enhancement, denoising processing is a very important part of the infrared image processing technology. The subject on the basis of analysis of the infrared image histogram characteristics proposed histogram enhancement algorithm; draw infrared image noise in the source and nature on the basis of analysis of the infrared image noise, white Gaussian noise and salt and pepper noise conclusions. In order to effectively eliminate the noise of these two properties, the design of the various filters, such as mean filter, ordered filter and a Gaussian low-pass filter is given algorithm processing effect after FIG. For a more objective evaluation of the performance of these algorithms, signal-to-noise ratio (SNR) and root mean square error (RMSE) as well as the simulation run time as the evaluation index, comparing the various algorithms in dealing with different types of noise and noise level denoising performance. Further, in order to highlight the details of the image, or the enhancement of the more obscure details achieve space sharpening filter to achieve a better effect. In order to meet the needs of portable systems, but also gives some practical algorithms, such as image histogram display, geometric transformation and binarization. The output of image data is the main content of this topic further. Here the image data output is achieved through the USB interface and the MMC / SD card. The use of this part of the contents of on-chip support library (CSL) to programming, not only shorten program development time and improve the efficiency of the development but also enhance the portability of the program.

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