vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff9530050000004b21010001000200 Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm first extracts edge information of medical images by using fuzzy edge detector. The images are decomposed using Cohen-Daubechies-Feauveau (CDF) wavelet. The hybrid technique utilizes the efficient wavelet based compression algorithms such as JPEG2000 and Set Partitioning In Hierarchical Trees (SPIHT). The wavelet coefficients in the approximation sub band are encoded using tier 1 part of JPEG2000. The wavelet coefficients in the detailed sub bands are encoded using SPIHT. Consistent quality images are produced by this method at a lower bit rate compared to other standard compression algorithms. Two main approaches to assess image quality are objective testing and subjective testing. The image quality is evaluated by objective quality measures. Objective measures correlate well with the perceived image quality for the proposed compression algorithm.
K. Vidhya, S. Shenbagadevi
College of Engineering, Anna University, India
Image Compression, Medical imaging, Joint Photographic Experts Group (JPEG), JPEG2000, Set Partioning in Hierarchical Trees (SPIHT), Discrete Wavelet Transform (DWT), Cohen-DaubechiesFeauveau biorthogonal wavelet (CDF), Edge Detector
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 1 , Issue: 3 , Pages: 138 - 142 )
Date of Publication :
February 2011
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66
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