International Journal of Computer Science Issues

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Recently, wavelet transform has proven to be very effective in medical image compression. So, the choice of wavelet filters is a vital factor that could determine the compression performance. This paper considered the effect of applying different types of wavelet filters belonging to orthogonal and biorthogonal wavelet families with different orders on the panoramic dental x-ray images. In addition to commonly use of PSNR and compression ratio measurement is adopted for objective image quality evaluation. SPIHT coding is used to encode and decode the image. The wavelet filters used are Haar, Daubichies8, 9/7 and 5/3 filters. The performance evaluation of the image quality is measured objectively using peak signal to noise ratio and compression ratio. The simulated results reveal that 9/7 irreversible wavelet transform is almost the best choice for lossy panoramic dental x-ray image compression.And it can be described by using a MATLAB software which is a high performance language for technical computing. It integrates computation, visualization, and programming in an easy to use environment where problems and solutions expressed in familiar mathematical notation.