Title :
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
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;
Conference_Titel :
Advanced Computing (ICoAC), 2013 Fifth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3447-8
DOI :
10.1109/ICoAC.2013.6921960
