Block truncation coding with entropy coding

نویسندگان

  • Pasi Fränti
  • Olli Nevalainen
چکیده

Block Truncation Coding (BTC) is a simple and fast image compression algorithm wich achieves constant bit rate of 2.0 bits per pixel. The method is however suboptimal. In the present paper we propose a modification of BTC in which the compression ratio will be improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme. The results compare favourable with other BTC variants. The bit rate for test image Lena is 1.53 bits per pixel with the mean square error of 16.51.

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عنوان ژورنال:
  • IEEE Trans. Communications

دوره 43  شماره 

صفحات  -

تاریخ انتشار 1995