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enhancement+fusing
- 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
A-Fusing-Color-and-Gradient-Features-Approach-to-R
- 本文通过融合图像的颜色和梯度特征 ,实现了一种实时背景减除方法。首先融合颜色和梯度特征建立新的能量函数 然后基于图切割算法最小化能量函数 ,并对前景P 背景进行分割 最后使用光流验证前景区域的真实性 ,并更新背景模型。- Based on the fusion of color and gradient features , this paper implement s a novel approach to real-time background subtraction.Firstly ,
raws-reading-and-fusing
- Matlab下，读取raw文件，实现多波段图像融合，高光谱与高分辨率图像融合，包括直接融合，傅里叶变换后融合，小波变换后融合及HIS变换后融合。-On Matlab,how to read and show raw files, achieve more band mergering,spectrum image and high resolution image fusiing,including direct fusion,Fourier transform fusion, wavele
PixelFusion
- 图像融合源代码，经过测试，可以运行，融合效果基本够用，可作为学习参考-Pixel fusing programe has been tested and is very good for using.
wavelete_WA
- fusing images by using DT-CWT method with weight average fusion rule
image-fusing
- 图像融合 一种最简单单很经典的实例学习 适合初学者理解其中的思想-One of the simplest single image fusion is a classic example of learning for beginners to understand the thinking
Tentposmpose
- This paper presents a new method for fusing two or more differently exposed images of a High Dynamic Range scene. The method employs illumination estimation filtering, in order to assess the degree of “wellexposedness” of the pixels in the origin