Title :
Diagnostically Lossless Compression-2 of Medical Images
Author :
Asraf, Robina ; Akbar, Muhammad ; Jafri, Noman
Author_Institution :
Coll. of Signals, Nat. Univ. of Sci. & Technol.
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;
Conference_Titel :
Distributed Diagnosis and Home Healthcare, 2006. D2H2. 1st Transdisciplinary Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0058-9
DOI :
10.1109/DDHH.2006.1624789
