An infrared image processing solution is proposed. It USES bi-threshold method to segment image and enhance the image with segmentation gray scale transform method.
针对红外图像，采用双门限分割法进行图像分割，然后采用分段灰度变换法进行图像增强。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
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