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光子学报 2007
Compression of Interferential Multi-Spectrical Image Based on Motion Compensation and Rate Pre-Allocation Algorithm
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Abstract:
A new multi-spectral image compression algorithm combining three-dimensional wavelet transform based on motion compensation and rate pre-allocation algorithm based on code block prediction was proposed.In order to reduce strong correlation between image series,motion compensation was used in this wavelet transform.After wavelet transform and quantification,a prediction module was introduced to estimate the entropy of EBCOT code block within available bit plane,then the summation estimate entropy of each image was used to allocate the rate for each image to eliminate influence of the reconstructed image quality using equal allocation.The experimental results show that the proposed algorithm outperforms 3D-SPIHT 0.85~1.25 dB in average PSNR of image series with eightfold compression.Compared to JPEG2000 algorithm,the proposed algorithm improves 1.91~4.25 dB.The proposed algorithm is suitable for hardware implementation with low computation.