Title :
Study on Scalable Coding Algorithm for Medical Image
Author :
Hongxin, Chen ; Zhengguang, Liu ; Hongwei, Zhang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ.
Abstract :
According to the characteristics of medical image and wavelet transform, a scalable coding algorithm is presented, which can be used in image transmission by network. Wavelet transform makes up for the weakness of DCT transform and it is similar to the human visual system. The second generation of wavelet transform, the lifting scheme, can be completed by integer form, which is divided into several steps, and they can be realized by calculation form integer to integer. Lifting scheme can simplify the computing process and increase transform precision. According to the property of wavelet sub-bands, wavelet coefficients are organized on the basis of the sequence of their importance, so code stream is formed progressively and it is scalable in resolution. Experimental results show that the algorithm can be used effectively in medical image compression and suitable to long-distance browse
Keywords :
biomedical optical imaging; discrete cosine transforms; image coding; medical image processing; wavelet transforms; DCT transform; human visual system; image transmission; integer; lifting scheme; long-distance browse; medical image compression; scalable coding algorithm; wavelet coefficients; wavelet subbands; wavelet transform; Algorithm design and analysis; Biomedical imaging; Frequency; Humans; Image coding; Low pass filters; Streaming media; Visual system; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615952
