TY - GEN
T1 - Fractal image coding using rate-distortion optimized matching pursuit
AU - Gharavi-Alkhansari, Mohammad
AU - Huang, Thomas S.
PY - 1996
Y1 - 1996
N2 - Matching pursuit is a general and flexible method for solving an optimization problem that is of interest in signal analysis, coding, control theory and statistics. In this paper, principles of rate-distortion optimal coding are used in combination with matching pursuit algorithm to obtain an enhanced fractal image coding method. The advantages of using such a method over traditional fractal image coders are described and compression results are presented.
AB - Matching pursuit is a general and flexible method for solving an optimization problem that is of interest in signal analysis, coding, control theory and statistics. In this paper, principles of rate-distortion optimal coding are used in combination with matching pursuit algorithm to obtain an enhanced fractal image coding method. The advantages of using such a method over traditional fractal image coders are described and compression results are presented.
UR - http://www.scopus.com/inward/record.url?scp=0030412121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030412121&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0030412121
SN - 0819421030
SN - 9780819421036
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 1386
EP - 1393
BT - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Visual Communications and Image Processing'96. Part 2 (of 3)
Y2 - 17 March 1996 through 20 March 1996
ER -