Title :
Discrete coefficients filter banks and applications in image coding
Author :
Kok, C.W. ; Nguyen, T.Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
Discrete coefficient filter banks reduce the computational complexity for subband image coding systems. A new time domain formulation is proposed for the design of near-perfect reconstruction filter banks with discrete coefficients. It can be shown that the proposed design method yields an l2 optimal solution which is considered to be practical in image coding applications. In addition, special emphasis is placed in designing filter banks with nonnegative scaling functions that smoothly decay to zero at block edges in order to reduce basis related artifacts. As a result, the reconstructed image does not suffer from blocking and ringing artifacts at medium bit rate (25:1 compression at 0.32 bit per pixel.)
Keywords :
computational complexity; digital filters; discrete systems; image coding; image reconstruction; time-domain synthesis; artifacts; bit rate; block edges; blocking; computational complexity; decay; design; discrete coefficient filter banks; image coding; l2 optimal solution; near-perfect reconstruction filter banks; nonnegative scaling functions; reconstructed image; ringing artifacts; subband image coding systems; time domain formulation; Channel bank filters; Computational complexity; Constraint optimization; Design methodology; Drives; Filter bank; Image coding; Image reconstruction; Signal analysis; Signal synthesis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.544096