TY - GEN
T1 - Wavelet-based image coding using HVS characteristics
AU - Mandal, Mrinal K.
AU - Panchanathan, Sethuraman
AU - Aboulnasr, T.
PY - 1995/12/1
Y1 - 1995/12/1
N2 - Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. In wavelet-based compression, coding performance can be improved by exploiting human visual system characteristics. In this paper, we propose an algorithm, optimal in the weighted mean square sense, to quantize the wavelet coefficients. The proposed algorithm provides a superior coding performance.
AB - Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. In wavelet-based compression, coding performance can be improved by exploiting human visual system characteristics. In this paper, we propose an algorithm, optimal in the weighted mean square sense, to quantize the wavelet coefficients. The proposed algorithm provides a superior coding performance.
UR - http://www.scopus.com/inward/record.url?scp=0029538802&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029538802&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029538802
SN - 0819419281
SN - 9780819419286
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 345
EP - 352
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Laine, Andrew F.
A2 - Unser, Michael A.
A2 - Wickerhauser, Mladen V.
T2 - Wavelet Applications in Signal and Image Processing III. Part 1 (of 2)
Y2 - 12 July 1995 through 14 July 1995
ER -