We present image compression algorithms using biorthogonal wavelet transforms with dyadic regional filter coefficients, which provide high computational speed and excellent compression performance. Two-dimensional reconstruction filter masks are constructed to minimize data access operations and process only the nonzero-valued pixels when performing the inverse wavelet transform. Convolutions with these masks can be performed by using only arithmetic bit-shifting and integer addition operations. Additional compression gain is achieved by using Hilbert scanning for the preprocessing of encoding process.
Index Terms:
image coding; image compression; biorthogonal wavelet transforms; dyadic regional filter coefficients; high computational speed; 2D filter mask operation; two-dimensional reconstruction filter masks; nonzero-valued pixels; inverse wavelet transform; convolution; arithmetic bit-shifting; integer addition operations; compression gain; Hilbert scanning; multiplierless 2D filter masks
Citation:
HyungJun Kim, "Image compression using biorthogonal wavelet transforms with multiplierless 2-D filter mask operation," icip, vol. 1, pp.648, 1997 International Conference on Image Processing (ICIP'97) - Volume 1, 1997
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