@article{(Open Science Index):https://publications.waset.org/pdf/9999952,
	  title     = {Scintigraphic Image Coding of Region of Interest Based On SPIHT Algorithm Using Global Thresholding and Huffman Coding},
	  author    = {A. Seddiki and  M. Djebbouri and  D. Guerchi},
	  country	= {},
	  institution	= {},
	  abstract     = {Medical imaging produces human body pictures in
digital form. Since these imaging techniques produce prohibitive
amounts of data, compression is necessary for storage and
communication purposes. Many current compression schemes
provide a very high compression rate but with considerable loss of
quality. On the other hand, in some areas in medicine, it may be
sufficient to maintain high image quality only in region of interest
(ROI). This paper discusses a contribution to the lossless
compression in the region of interest of Scintigraphic images based
on SPIHT algorithm and global transform thresholding using
Huffman coding.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {847 - 850},
	  ee        = {https://publications.waset.org/pdf/9999952},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},
	}