Surface compression with geometric bandelets
ACM SIGGRAPH 2005 Papers
Analysis of low bit rate image transform coding
IEEE Transactions on Signal Processing
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Quantum-Inspired Immune Clonal Algorithm for Global Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing
Sparse geometric image representations with bandelets
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Run-time malware detection based on positive selection
Journal in Computer Virology
Pattern Recognition Letters
A bio inspired estimation of distribution algorithm for global optimization
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
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In this letter, we proposed a quantum-inspired immune clone algorithm (QICA) and wavelet packet (WP) based adaptive multiscale Bandelet (QICAWP-AMB) for image representation. Multilevel wavelet packet decomposition is performed on the images and then dyadic partition is employed to obtain some squares on which to perform Bandeletization. Moreover, in order to locate the optimal direction in each square, a new cost function independent with the threshold T is proposed, and QICA is employed to obtain more accurate geometric flows. Experiments on image coding are taken to compare the efficiency of our proposed method with that of Wavelets, the second generation Bandelet, JPEG2000, SPIHT, GAWP (genetic algorithm and wavelet packet) and ICAWP (immune clone algorithm and wavelet packet) based methods, and the superiorities of QICAWP-AMB to its counterparts can be observed in both peak signal to noise (PSNR) and edge preservation index (EPI) at low bit rate compression.