Title :
Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping
Author :
Kim, Chang-Su ; Kim, Rin-Chul ; Lee, Sang-Uk
Author_Institution :
Signal Process. Lab., Seoul Nat. Univ., South Korea
fDate :
4/1/1998 12:00:00 AM
Abstract :
We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ranging from 40-250 kbyte/s
Keywords :
correlation methods; data compression; fractals; image sequences; iterative methods; prediction theory; video coding; 40 to 250 kbyte/s; algorithm; circular prediction mapping; computer simulation results; domain block; fractal compression; fractal video sequence coding; iterated function system; low bit rate; noncontractive interframe mapping; range block; real image sequences; temporal correlation; Bit rate; Computer simulation; Fractals; Image coding; Image reconstruction; Image sequences; Iterative decoding; Motion compensation; Motion estimation; Video sequences;
Journal_Title :
Image Processing, IEEE Transactions on