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Transform Infra- Red Image Using Discrete Wavelet Function

机译:使用离散小波函数转换红外图像

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摘要

Many techniques used for providing better resolution and getting the best images feature for target recognition system because of the multi-resolution and good properties of time frequency analysis. Discrete Wavelet transform (DWT) is good performance for IR image field scheme based on pixel employs genetic algorithms to operate the traditional wavelet coefficients to study and analyze IR image and image resolution enhancement. Noticed that, the best quality for process image using DWT and IDWT will be used in day vision regarding to get enhance IR image. Comparing all output images with original one there is no noise because of getting the same IR images, four images getting from the DWT coefficients having good features of the object comparing with the original image. A good achievement of the best feature of the images observing, that can use for target recognition system and remote sensing.
机译:由于多分辨率和时间频率分析的良好特性,用于提供更好的分辨率和为目标识别系统获得最佳图像特征的许多技术。离散小波变换(DWT)是基于像素的IR图像场方案的良好性能,采用遗传算法来操作传统小波系数以研究和分析IR图像和图像分辨率增强。注意到,使用DWT和IDWT的过程图像的最佳质量将在有关获得增强IR图像的日志中使用。使用原始输出图像与原始输出图像进行比较,因为获取相同的IR图像,从DWT系数获得具有良好特征的四个图像与原始图像相同。对图像观察的最佳特征的良好成就,可用于目标识别系统和遥感。

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