Efficient DPCM predictor for hardware implementation of lossless medical brain CT image compression

Author

Sepehrband, Farshid ; Mortazavi, Mohammad ; Ghorshi, Seyed

Author_Institution

Sch. of Sci. & Eng., Sharif Univ. of Technol., Tehran, Iran

fYear

2010

fDate

7-10 Sept. 2010

Firstpage

123

Lastpage

126

Abstract

Computed Tomography (CT) medical images show a specific part of human body and present it in a digital form. Lossless image compression is one of the medical imaging applications. To implement such application on hardware we need a simple and fast algorithm. Differential pulse code modulation (DPCM) is a simple and efficient method for transforming image. In this paper best predictor for DPCM introduce in a manner in which has the best result in compression and also be efficient for hardware implementation. After transforming image by DPCM, Huffman encoding used to compress image. We introduce this method with application to brain CT images.

Keywords

Huffman codes; brain; computerised tomography; differential pulse code modulation; image coding; medical image processing; CT image compression; DPCM predictor; Huffman encoding; brain CT image; computed tomography; differential pulse code modulation; hardware implementation; image transformation; lossless image compression; medical image; medical imaging application;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals and Electronic Systems (ICSES), 2010 International Conference on

Conference_Location

Gliwice

Print_ISBN

978-1-4244-5307-8

Electronic_ISBN

978-83-9047-4-2

Type

conf

Filename

5595237