TY - GEN
T1 - A medical image compression scheme based on low order linear predictor and most-likely magnitude huffman code
AU - Xiaofeng, Li
AU - Yi, Shen
PY - 2006
Y1 - 2006
N2 - In this paper, a fast lossless compression scheme is presented for the medical image. This scheme consists of two stages. In the first stage, a set of least-square-based linear prediction coefficients of each block are used to form the prediction of the current pixel. Predicted value of each pixel is subtracted from the actual value of the current pixel to form the residual image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual image. This newly proposed scheme could reduce the cost for the Huffman coding table while achieving high compression ratio. With this algorithm, a compression ratio higher than that of the lossless JPEG, JPEG-LS and JPEG2000 method for image can be obtained. At the same time, this method is quickest of the three compression schemes. In other words, the newly proposed algorithm provides good means for lossless medical image compression.
AB - In this paper, a fast lossless compression scheme is presented for the medical image. This scheme consists of two stages. In the first stage, a set of least-square-based linear prediction coefficients of each block are used to form the prediction of the current pixel. Predicted value of each pixel is subtracted from the actual value of the current pixel to form the residual image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual image. This newly proposed scheme could reduce the cost for the Huffman coding table while achieving high compression ratio. With this algorithm, a compression ratio higher than that of the lossless JPEG, JPEG-LS and JPEG2000 method for image can be obtained. At the same time, this method is quickest of the three compression schemes. In other words, the newly proposed algorithm provides good means for lossless medical image compression.
KW - Bayesian model averaging
KW - Huffman coding
KW - Lossless image compression
KW - Medical image
UR - https://www.scopus.com/pages/publications/34247264866
U2 - 10.1109/ICMA.2006.257487
DO - 10.1109/ICMA.2006.257487
M3 - 会议稿件
AN - SCOPUS:34247264866
SN - 1424404665
SN - 9781424404667
T3 - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
SP - 1796
EP - 1800
BT - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
T2 - 2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Y2 - 25 June 2006 through 28 June 2006
ER -