Medical Image Compression Using Wavelets For Telemedicine Applications

Low, Yin Fen and Izadora, Mustaffa and Norhashimah, Mohd Saad (2006) Medical Image Compression Using Wavelets For Telemedicine Applications. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

As the number of digitized medical radiology images increasing drastically lately, clinical picture archiving and communication system (PACS) and telemedicine networks required the storage and transmission of large amount of medical data. Due to this problem, medical images must be compressed before transmission and storage. Many compression methods have been proposed. One of the popular and effective techniques is to use wavelets. There are a variety of different wavelet functions to suit the needs of different applications. Among the most popular wavelets are Haar,Daubechies, Coiflet and Biorthogonal, etc. The best wavelets for medical image compression are widely unknown. The purpose of this research is to examine and compare the difference in impact and quality of a set of wavelets to image quality for implementation in a digitized still medical image compression with different modalities. We used two approaches to the assessment of medical image quality:objectively, using peak signal to noise ratio (PSNR) or picture quality scale (PQS)and subjectively, using perceived image quality. Finally, we will define an optimal wavelet filter for each modality of medical image.

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