matlab视频加躁去噪原理,卡尔曼滤波实现视频信号去噪

GUI for denoising video signals with Kalman filter

Denoising grayscale video signals using :

1) Estimation with windows option : 3x3x3 or 3x3x2

2) Kalman filter

Note :

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1.the Kalman filter algorithm here does not follow conventional description, therefore the code is open for

enhancement .

2.the numerical type is double [0,....1].

GUI, containing :

. two major screens and two minor screens

. 16 buttons & 9 edit texts .

features :

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1. open avi file or acquire signal from webcam with parameters :

-YUY2_320x240.

-grayscale signal.

-number of frames specified with

string "Frames" .

-FrameGrabinterval=3.

2. play and replay original, noisy and filtered signals .

3. add Gaussian noise with parametrs mean and variance note that for better performance do not exceed 0.1 for

variance, and 0.005 for mean .

4.Apply Kalman filter with Estimation

option=1 , estimation 3x3x3.

option=2 , estimation 3x3x2.

5.Compute and show the mean Covariance matrix & mean Kalman Gain over all frames.

6.Compute and show MSE & PSNR over all frames .

7.Compute and show the Cross correlation of the elimanted noise of frame specified

with " Time index" edit text.

8.show Histograms of the noisy and filtered frames specified with "Time index" .

9.Evaluate single pixel over all frames , by entering the coordinates of the pixel .

10.Export the filtered signal into GIF file , by giving the filename .

11. Export single filtered frame with its associate noisy frame .