Abstract:

BACKGROUND: Wavelet and wavelet packet technique is important for temporal-frequency analysis. After collection of digital medical images, they have many faults and large amount of data are sensitive to noise. The use of two-dimensional wavelet and wavelet packet technology can achieve the perfect compression and de-noising with liver image.
OBJECTIVE: To compare the strengths and weaknesses of the compressed liver image using two-dimensional wavelet and wavelet packet compression technology in different modes, as well as wavelet de-noising techniques.
METHODS: The same liver image of arterial phase was selected to divide into four layers. Using two-dimensional wavelet and two-dimensional wavelet packet technique, three modes of compression were performed to process the image, then wavelet function was used to eliminate the noise signal of image.
RESULTS AND CONCLUSION: For the same compression mode, two-dimensional wavelet packet technology was better than two-dimensional wavelet image compression technology with liver cancer. In three compression models the Bal.sparsity-norm(sqrt) mode and Remove near0 mode’s compression ratio was smaller with better clarity. Wavelet de-noising can well eliminate the noise signal. The use of two-dimensional wavelet and wavelet packet technology can achieve the perfect compression and de-noising with liver image.