Diagnostically Lossless Compression-2 of Medical Images

Author

Asraf, Robina ; Akbar, Muhammad ; Jafri, Noman

Author_Institution

Coll. of Signals, Nat. Univ. of Sci. & Technol.

fYear

2006

fDate

2-4 April 2006

Firstpage

28

Lastpage

32

Abstract

A method is proposed for compression of medical images. The approach is called DLC2 (Diagnostically Lossless Compression-2). To get lossless effect, we use lossy coding followed by error image coding. An NNVQ (Neural Network Vector Quantizer) is used for lossy compression and Huffman coding is used to code the difference image losslessly. It is an spatial domain technique. No frequency domain transformations are required, this makes the proposed scheme simple and computationally economical. Proposed method can achieve higher compression ratios than existing standard lossless compression techniques and also meets the legal requirement of medical image archiving

Keywords

Huffman codes; data compression; image coding; medical image processing; medical information systems; neural nets; vector quantisation; DLC2; Huffman coding; NNVQ; diagnostically lossless compression-2; error image coding; lossy compression; medical image archiving; medical image compression; neural network vector quantizer; spatial domain technique; Biomedical imaging; Decoding; Frequency domain analysis; Huffman coding; Image coding; Image storage; Law; Medical diagnostic imaging; Neural networks; PSNR;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Diagnosis and Home Healthcare, 2006. D2H2. 1st Transdisciplinary Conference on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0058-9

Type

conf

DOI

10.1109/DDHH.2006.1624789

Filename

1624789