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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 1, May 2009

Issue on Computer Science

Page(s): 591-593

A Two Component Medical Image Compression Technique

K.Vidhya, and S.Shenbagadevi

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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 cost-effective delivery of medical images for primary diagnosis. This paper presents an effective algorithm to compress and reconstruct Digital Imaging and Communications in Medicine (DICOM) images. DICOM is a standard for handling, storing, printing and transmitting information in medical imaging. These medical images are volumetric consisting of a series of sequences of slices through a given part of the body. DICOM image is first decomposed by Cohen-Daubechies-Feauveau (CDF) biorthoganal wavelet. The wavelet coefficients are encoded using Set Partitioning in Hierarchical Trees (SPIHT) algorithm. Discrete Cosine Transform (DCT) is performed on the images and the coefficients are JPEG coded. The quality of the compressed image by each method is compared and the method exhibiting highest Peak Signal to Noise Ratio (PSNR) is retained for the image. The proposed method provides superior performance in terms of compression rate and reconstructed image quality.

Index Terms

Medical imaging, Set Partitioning in Hierarchical Trees (SPIHT), Cohen-Daubechies-Feauveau (CDF) biorthoganal wavelet, Digital Imaging and Communications in Medicine (DICOM) images, DICOM previewer

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