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Authors
Affiliations
1 Communications and Electrictronics Engineering Department, El-Safwa Institute, EG
2 Department of Communications, Menofia University, IN
3 Department of Electronics Technology, Helwan University, Cairo, EG
Source
Digital Image Processing, Vol 6, No 9 (2014), Pagination: 353-358
Abstract
Medical images transmission has many constraints such as, bandwidth and image size, it due to the limited channel capacity of the used wireless technologies which is utilized for the medical purposes for example, Zigbee or Bluetooth technologies. Thus image compression is a key factor to improve transmission speed and storage, but it risks losing relevant medical information. Nowadays a large number of various medical images are generated from hospitals and medical centers with sophisticated image acquisition devices. So the researchers deal about the techniques to decrease the communication bandwidth and to save the transmitting power in the wireless medical devices. Digital image consumes huge memory and thus digital image data compression is necessary in order to solve this problem. In medical applications such as disease diagnostic, the loss of information is unacceptable; hence medical images should be compressed lossless. Complexity of the compression algorithm is directly related to the power consumption and hence there is a need for simple compression algorithms. In this paper, different lossless compression techniques are shown and compared to clear the suitable one for medical image compression.
Keywords
Medical Image, Compression, Bandwidth, Complexity, Adaptive Compression Algorithm System.
