The better compression rate can be
achieved by the traditional vector quantization (VQ)
method, and the quality of the recovered image can also
be accepted. But the decompressed image quality can
not be promoted efficiently, so how to balance the image
compression rate and image recovering quality is an
important issue. In this paper, an image is transformed
by discrete wavelet transform (DWT) to generate its
DWT transformed image which can be compressed by
the VQ method further. Besides, we compute the values
between the DWT transformed image and
decompressed DWT transformed image as the
difference matrix which is the adjustable basis of the
decompressed image quality. By controlling the
deviation of the difference matrix, there can be nearly
lossless compression for the VQ method. Experimental
results show that when the number of compressed bits
by our method is equal to the number of those bits
compressed by the VQ method, the quality of our
recovered image is better. Moreover, the proposed
method has more compression capability comparing
with the VQ scheme
Relation:
Journal of Electronic Science and Technology, V.11 N.1 : 51-57.
