基于MATLAB的红外图像增强算法研究基于MATLAB的红外图像增强算法研究.docVIP

基于MATLAB的红外图像增强算法研究 电子信息科学与技术专业学生：郭岭 指导教师：曹斌芳 近年来，随着电子计算机技术的进步，计算机图像处理得到了飞跃的发展，己经成功的应用于几乎所有与成像有关的领域，并正发挥着相当重要的作用。它利用计算机对数字图像进行系列操作，从而获得某种预期的结果。 对图像进行处理时，经常运用图像增强技术以改善图像的质量增强对某种信息的辨识能力，以更好的应用于现代各种科技领域，图像增强技术的快速发展同它的广泛应用是分不开的，发展的动力来自稳定涌现的新的应用，我们可以预料，在未来社会中图像增强技术将会发挥更为重要的作用。在图像处理过程中，图像增强是十分重要的一个环节。 因此，对图像增强技术和方法进行研究对国计民生有着十分重要的作用。 MATLAB based infrared image enhancement algorithm based on Abstract: in general, after image transfer and conversion, such as imaging, copying scanning, transmission and display, often resulting in a decline in image quality, image distortion. When shooting due to illumination insufficient or excessive, will make the image too dark or too bright; optical system distortion, relative motion, air flow will make the image blur, transmission process will introduce various types of noise. In the input image in the visual effect and convenient identification and other aspects may exist a lot of problem, this kind of problem can collectively referred to as the quality problems. Image enhancement is defined according to the specific need to highlight the image of important information, at the same time reduction or removal of unwanted information. From different ways of acquiring images, through appropriate enhancement processing, can be originally ambiguous or even impossible to distinguish the original image processing into a clear abundant useful information can use the image, effectively remove the image noise, enhance image edges or other regions of interest, and thus more easily interested in the image of the target detection and measurement. The processed image is to maintain the status quo is the be of no great importance, not considering the image of some ideal form to a conscious effort to reproduce the image fidelity. The purpose of image enhancement is to enhance the visual effects of the image, the original image is converted into a more suitable for human observation and computer analysis form. It generally with human visual characteris