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Memory constrained wavelet based image coding

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2 Author(s)
P. Cosman ; Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA ; K. Zeger

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.

Published in:

IEEE Signal Processing Letters  (Volume:5 ,  Issue: 9 )