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Performance Analysis of Region based Hybrid Compression for Medical Images

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Preeti V. Joshi, C. D. Rawat

Preeti V Joshi and C D Rawat. Performance Analysis of Region based Hybrid Compression for Medical Images. International Journal of Computer Applications 156(3):24-29, December 2016. BibTeX

	author = {Preeti V. Joshi and C. D. Rawat},
	title = {Performance Analysis of Region based Hybrid Compression for Medical Images},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {3},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {24-29},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2016912402},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The high quality of the image produced by CT scan and MRI techniques is required to be maintained in order to avoid wrong diagnosis along with reduced file size. A lossless compression technique retains the image quality but achieves low to moderate compression ratio. Lossy compression, on the other hand, provides higher compression at the cost of degraded image quality. Thus there is need of intermediate method that can satisfy both the requirements. One such approach is the region based hybrid compression in which both lossless and lossy techniques are integrated to obtained better results. Present work comprises region based hybrid compression using Huffman coding and SPIHT. First the diagnostically important region is separated from the rest of the image by a segmentation procedure. The extracted ROI is coded using lossless Huffman coding and SPIHT compression is used for rest of the image also called as background. Performance of the proposed method is evaluated in terms of full reference and no reference parameters.


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BRISQUE, FSIM, Hybrid Compression, ROI, SPIHT, SSIM, VIF.