Wavelet Transform Compression of Functional Magnetic Resonance Image Sequences
نویسنده
چکیده
Image sequences from functional neuroimaging experiments with 3-D magnetic resonance scans of the human brain were wavelet transformed using a variety of orthogonal and biorthogonal wavelet filters with different treatments of the image borders. Contrary to the expectation that higher-order wavelets with more sophisticated boundary treatments would yield better compression, simple Haar wavelets without any boundary treatment provided the best compression throughout the rate-distortion performance curve.∗
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