Title :
Lossless medical-image compression using multiple array technique
Author :
Devaraj, Kiruthika ; Munukur, Rama K. ; Kesavamurthy, T.
Author_Institution :
Dept. of Electron. & Commun., PSG Coll. of Technol., Coimbatore, India
Abstract :
The multiple array technique proposed in this paper is a lossless compression technique that involves no transformation, and achieves a very good compression ratio. This technique is based on forming three arrays to indicate and code the changes in the adjacent pixels. The arrays thus formed can be further compressed using Huffman coding. The computational complexity is greatly reduced thus producing faster compressions and decompressions. Due to the combination of simplicity and compression potential of this technique, the algorithm "enjoys the best of both worlds". This technique attains compression ratios similar to or superior than the lossless image compression standards presently available. Due to the high compression ratio, the average bits required to represent a pixel is greatly reduced. Thus, this algorithm is optimally suited for telemedicine having fast transmission rates.
Keywords :
Huffman codes; array signal processing; data compression; image coding; image resolution; medical image processing; Huffman coding; lossless medical-image compression; multiple array technique; Biomedical imaging; Educational institutions; Fourier transforms; Huffman coding; Image coding; Image reconstruction; Image storage; Redundancy; Telemedicine; Wavelet transforms; Gray Array; Huffman coding; Lossless Image Compression; Medical Image Compression; Multiple Array Technique; Telemedicine;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on
Print_ISBN :
0-7803-9266-3
DOI :
10.1109/ISPACS.2005.1595540