Implementation of wavelet decomposition and zerotree coding for image compression on the TMS320C6701

As the new standard compression method for the JPEG 2000, the discrete wavelet transform (DWT) is quickly finding more and more uses in the image compression department. With the numerous and repetitive calculations needed to find the coefficients of a large image, speed is critical when implementing a wavelet filter bank to represent the DWT in hardware. The objective of this thesis is to implement a wavelet filter bank to represent the decomposition and reconstruction of a grayscale image using wavelets. A zerotree coding process has been performed on the coefficients to retain as much important coefficient data as possible to save on transmission bandwidth.