MEDICAL IMAGE COMPRESSION: A REVIEW
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
Nasser Lotfivand
1
(Department of Electronic Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
neda rezaei
2
(Department of Electronic Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
الکلمات المفتاحية: Contourlet Transform, Wavelet Transform, EZW, EBCOT, Fractal Coding,
ملخص المقالة :
Within recent years the use of medical images for diagnosis purposes has become necessity. The limitation in transmission and storage space also growing size of medical images has necessitated the need for efficient method, then image Compression is required as an efficient way to reduces irrelevant and redundancy of the image data in order to be able to store or transmits data. It also reduces the time required for images to be sent over the internet or downloaded from web pages. Medical Image Compression plays a vital role in the field of Telemedicine. Image compression will allow Picture Archiving and Communication Systems (PACS) to reduce the file sizes on their storage requirements while maintaining relevant diagnostic information. Diagnosis is effective only when compression techniques preserve the relevant and important image information needed. In this paper, a review has been based on different image compression methods are presented.
