The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Error-resilient transmission of quality-scalable images over wireless channels
Digital Signal Processing
3-D medical image compression using 3-D wavelet coders
Digital Signal Processing
Journal of Medical Systems
Request redirection paradigm in medical image archive implementation
Computer Methods and Programs in Biomedicine
Internet living broadcast of medical video stream
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
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Progressive transmission of medical images through Internet has emerged as a promising protocol for teleradiology applications. The major issue that arises in teleradiology is the difficulty of transmitting large volume of medical data with relatively low bandwidth. Recent image compression techniques have increased the viability by reducing the bandwidth requirement and allowing cost-effective delivery of medical images for primary diagnosis. This paper highlights a wavelet based set partitioning in hierarchical trees (SPIHT) coder for progressive transmission of DICOM images. The header of the DICOM image is first transmitted followed by the compressed image data and then at the receiving end, images are reconstructed from low quality to high (or perfect) quality. The performance of the coder is evaluated using two image quality assessment criteria, namely, mean squared error (MSE) and mean structural similarity (MSSIM) index. The results prove that our method provides diagnostically useful information as rapidly as possible utilizing minimum bandwidth than variants of JPEG as reported in literature.