Take a color image Add white Gaussian noise with 10 dB SMR t

Take a color image. Add white Gaussian noise with 10 dB SMR to your image to obtain y(m_1, m_2) = x(m_1, m_2) + y(m_1, m_2) Compute two-level wavelet decomposition of the image y(m_1, m_2) using the MATLAB function that for 1-D wavelet transform. Use Haar wavelet (\"dB1\") Use an orthogonal wavelet (\"sym8\") Display the resulting images. Can you see any differences between the transforms? Comment. Implement the particle-filter algorithm (see page 323-325 in text). And apply to a short video (or sequences of images). Discuss the tracking results and comment the effectiveness of the particle-filter tracking algorithm. Write a program to compute the information loss associated with the following transform coding schemes: Apply an image and compare the results. Explain your observation.

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