Motion estimation and motion compensated medical image sequence compression using SPIHT

Author

Ferni Ukrit, M. ; Suresh, G.R.

Author_Institution

Dept. of CSE, Sathyabama Univ., Chennai, India

fYear

2013

Firstpage

258

Lastpage

262

Abstract

Massive amount of storage capacity is required to store medical image sequences in their raw form. Medical image sequences play an important role; hence it is obligatory to develop a system that produces high degree of compression while preserving the medical information. Therefore lossless compression is needed to reduce the consumption of expensive resources such as hard disk space or transmission bandwidth. The method that combines SPIHT and an inter-frame coding with motion vectors is proposed to improve the compression ratio. Inter-frame coding is used to exploit the correlation among image sequences. To begin with SPIHT is applied with fast block matching process. Compression Ratio and Peak Signal-to-Noise Ratio are compared with other state of art coding.

Keywords

data compression; image coding; image sequences; medical image processing; motion compensation; motion estimation; SPIHT; compression ratio; hard disk space; interframe coding; lossless compression; medical image sequences; medical information; motion compensated medical image sequence compression; motion estimation; motion vectors; peak signal-to-noise ratio; storage capacity; transmission bandwidth; Biomedical imaging; Decoding; Estimation; Image coding; MATLAB; Manganese; Vectors; DWT; Inter-frame Coding; Lossless Compression; MEMC; Medical Image Sequences; SPIHT;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing (ICoAC), 2013 Fifth International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3447-8

Type

conf

DOI

10.1109/ICoAC.2013.6921960

Filename

6921960