3D imaging in medicine
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Image and Video Compression Standards: Algorithms and Architectures
Image and Video Compression Standards: Algorithms and Architectures
Internet transmission of DICOM images with effective low bandwidth utilization
Digital Signal Processing
An adaptive 3-D discrete cosine transform coder for medical image compression
IEEE Transactions on Information Technology in Biomedicine
A wavelet-based region of interest encoder for the compression of angiogram video sequences
IEEE Transactions on Information Technology in Biomedicine
Lossless image compression with projection-based and adaptive reversible integer wavelet transforms
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Lossy-to-lossless 3D image coding through prior coefficient lookup tables
Information Sciences: an International Journal
Automatic RNA virus classification using the Entropy-ANFIS method
Digital Signal Processing
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This paper presents compression of 3-D medical images using 3-D wavelet encoders. Four wavelet transforms, namely, Daubechies 4, Daubechies 6, Cohen-Daubechies-Feauveau 9/7 and Cohen-Daubechies-Feauveau 5/3 are used in the first stage with encoders such as 3-D SPIHT, 3-D SPECK and 3-D BISK used in the second stage for the compression and the optimal wavelet-encoder combination is identified. Two versions of wavelet transform, symmetric and decoupled wavelet transform are considered. Experiments are performed using medical test images such as magnetic resonance images (MRI) and X-ray angiograms (XA). The performances of the proposed scheme are evaluated in terms of peak signal-to-noise ratio and bit rate. Further mean structural similarity (MSSIM) index is introduced to evaluate the structural similarity between the original and the reconstructed images. It is found from the test results that the 3-D Cohen-Daubechies-Feauveau 9/7 symmetric wavelet along with the 3-D SPIHT encoder yields the best compression result.