f your compassion does not include yourself, it is incomplete” – Gautama Buddha
Telemedicine; use of telecommunication and information technological services, which permits the
communication between the users with convenience and fidelity, as well transmitting medical, images and
health informatics data. Numerous image processing applications like Satellite Imaging, Medical Imaging
and Video has images with too large size or stream size, with a large amount of space or high bandwidth
for communication in its original form. Integrity of the transmitted medical images and the informatics
data, without any compromise in the data is an essential product of telecommunication and information
technology. A colossal need for an adequate compression methodology, in adoption for the compression of
medical images /data, to domicile for various metrics like high bandwidth, resolution factors, storage of the
images/data, the obligation to perpetuate the validity and precision of data for subsequent perceived
diagnosis transactions. This leverages exacting coercions on the restoration error. In this paper we survey
the literature related to the Image Processing Methodologies based on ROI technique/s for Digital Imaging
and Communication for Medicine (DICOM). A scrutiny as such persuades with the several congestions
related to prospective techniques of lossless compression, recommending for a better and a unique image compression technique.
%0 Journal Article
%1 shivaputrahssheshadri2015efficient
%A Shivaputra, H.S.Sheshadri, V.Lokesha
%D 2015
%E AIRCC,
%J Computer Applications: An International Journal (CAIJ)
%K tag
%N 1
%P 1-7
%T AN EFFICIENT LOSSLESS MEDICAL IMAGE
COMPRESSION TECHNIQUE FOR
TELEMEDICINE APPLICATIONS
%U http://airccse.com/caij/papers/2115caij06.pdf
%V 2
%X f your compassion does not include yourself, it is incomplete” – Gautama Buddha
Telemedicine; use of telecommunication and information technological services, which permits the
communication between the users with convenience and fidelity, as well transmitting medical, images and
health informatics data. Numerous image processing applications like Satellite Imaging, Medical Imaging
and Video has images with too large size or stream size, with a large amount of space or high bandwidth
for communication in its original form. Integrity of the transmitted medical images and the informatics
data, without any compromise in the data is an essential product of telecommunication and information
technology. A colossal need for an adequate compression methodology, in adoption for the compression of
medical images /data, to domicile for various metrics like high bandwidth, resolution factors, storage of the
images/data, the obligation to perpetuate the validity and precision of data for subsequent perceived
diagnosis transactions. This leverages exacting coercions on the restoration error. In this paper we survey
the literature related to the Image Processing Methodologies based on ROI technique/s for Digital Imaging
and Communication for Medicine (DICOM). A scrutiny as such persuades with the several congestions
related to prospective techniques of lossless compression, recommending for a better and a unique image compression technique.
@article{shivaputrahssheshadri2015efficient,
abstract = {f your compassion does not include yourself, it is incomplete” – Gautama Buddha
Telemedicine; use of telecommunication and information technological services, which permits the
communication between the users with convenience and fidelity, as well transmitting medical, images and
health informatics data. Numerous image processing applications like Satellite Imaging, Medical Imaging
and Video has images with too large size or stream size, with a large amount of space or high bandwidth
for communication in its original form. Integrity of the transmitted medical images and the informatics
data, without any compromise in the data is an essential product of telecommunication and information
technology. A colossal need for an adequate compression methodology, in adoption for the compression of
medical images /data, to domicile for various metrics like high bandwidth, resolution factors, storage of the
images/data, the obligation to perpetuate the validity and precision of data for subsequent perceived
diagnosis transactions. This leverages exacting coercions on the restoration error. In this paper we survey
the literature related to the Image Processing Methodologies based on ROI technique/s for Digital Imaging
and Communication for Medicine (DICOM). A scrutiny as such persuades with the several congestions
related to prospective techniques of lossless compression, recommending for a better and a unique image compression technique.},
added-at = {2018-02-02T10:56:45.000+0100},
author = {{Shivaputra, H.S.Sheshadri}, V.Lokesha},
biburl = {https://www.bibsonomy.org/bibtex/26b8e21cceb4d0886a1990a7deb55c5e3/caij},
editor = {AIRCC},
interhash = {20edb1a204da88bec91b86da1f4543cc},
intrahash = {6b8e21cceb4d0886a1990a7deb55c5e3},
journal = {Computer Applications: An International Journal (CAIJ)},
keywords = {tag},
month = {02/2015},
number = 1,
pages = {1-7},
timestamp = {2018-02-02T10:56:45.000+0100},
title = {AN EFFICIENT LOSSLESS MEDICAL IMAGE
COMPRESSION TECHNIQUE FOR
TELEMEDICINE APPLICATIONS },
url = {http://airccse.com/caij/papers/2115caij06.pdf},
volume = 2,
year = 2015
}