Title :
Memory constrained wavelet based image coding
Author :
Cosman, Pamela ; Zeger, Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
We present a method for ordering the wavelet coefficient information in a compressed bitstream that allows an image to be sequentially decoded, with lower memory requirements than conventional wavelet decompression schemes. We also introduce a hybrid filtering scheme that uses different horizontal and vertical filters, each with different depths of wavelet decomposition. This reduces decoder memory requirements by reducing the instantaneous number of wavelet coefficients needed for inverse filtering.
Keywords :
filtering theory; image coding; image colour analysis; sequential decoding; source coding; transform coding; wavelet transforms; colour images; compressed bitstream; horizontal filters; hybrid filtering scheme; image coding; inverse filtering; memory constrained image coding; memory requirements; sequential decoding; vertical filters; wavelet coefficient information; wavelet decomposition; Color; Data compression; Decoding; Filtering; Filters; Image coding; Image reconstruction; Source coding; Wavelet coefficients; Wavelet transforms;
Journal_Title :
Signal Processing Letters, IEEE
