  We describe a novel method for removing speckle (in wavelet domain) of
unknown variance from SAR images. The me-thod is based on the following
procedure: We apply 1) Bidimentional Discrete Wavelet Transform (DWT-2D) to the
speckled image, 2) scaling and rounding to the coefficients of the highest
subbands (to obtain integer and positive coefficients), 3) bit-slicing to the
new highest subbands (to obtain bit-planes), 4) then we apply the Systholic
Boolean Orthonormalizer Network (SBON) to the input bit-plane set and we obtain
two orthonormal output bit-plane sets (in a Boolean sense), we project a set on
the other one, by means of an AND operation, and then, 5) we apply
re-assembling, and, 6) re-sca-ling. Finally, 7) we apply Inverse DWT-2D and
reconstruct a SAR image from the modified wavelet coefficients. Despeckling
results compare favorably to the most of methods in use at the moment.
