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VisualC++数字图像处理技术详解第2版光盘-第六章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter VI)

C#图片浏览(支持鼠标拖动与滚轮缩放)

IMU姿态跟踪，利用粒子滤波器实现，可用于机器人姿态确定(IMU orientation tracking algorithm using particle filter.)

图像拼接，利用互相关函数自动寻找匹配点。(Image mosaic, using cross-correlation function automatically find matching points.)

实现DCT变换和FFT变换的图像压缩， 比较两者性能的差异(The DCT transform and FFT transform image compression)

中值滤波是一种非线性数字滤波器技术，经常用于去除图像或者其它信号中的噪声

用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。(Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle suppression method, this method is much more effective.)

随着视频的播放进行眼球追踪，如果眼镜反光会影响正确率(eyeball tracking in video p.s. note that the reflection of glasses may influence the performance)

粒子滤波matlab程序，主要是扩展的卡尔曼粒子滤波(Particle filter matlab program, mainly extended Kalman particle filter)

图像线性插值Verilog代码，已通过FPGA验证(Image linear interpolation Verilog code, has been verified by FPGA)