论文信息 - An Algorithm for Image Representation as Independent Levels of Resolution

An Algorithm for Image Representation as Independent Levels of Resolution

Recently it has been shown that natural images possess a special type of scale invariant statistics (multiscaling). In this paper, we will show how the multiscaling properties of images can be used to derive a redundancy-reducing oriented wavelet basis. This kind of representation can be learnt from the data and is optimally adapted for image coding; besides, it shows some features found in the visual pathway.

Antonio Turiel | Néstor Parga | Jean-Pierre Nadal

[1] A Turiel,et al. Multifractal wavelet filter of natural images. , 2000, Physical review letters.

[2] Antonio Turiel,et al. Orientational minimal redundancy wavelets: from edge detection to perception , 2003, Vision Research.

[3] N. Parga,et al. Scene dependence of the non-Gaussian scaling properties of natural images , 2000, Network.

[4] J. Nadal,et al. Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer Network 5 , 1994 .

[5] J. H. Hateren,et al. Independent component filters of natural images compared with simple cells in primary visual cortex , 1998 .

[6] Antonio Turiel,et al. The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures , 2000, Neural Computation.

[7] Eero P. Simoncelli,et al. Image compression via joint statistical characterization in the wavelet domain , 1999, IEEE Trans. Image Process..

[8] P. Somogyi,et al. The hippocampal CA3 network: An in vivo intracellular labeling study , 1994, The Journal of comparative neurology.

[9] J. H. Hateren,et al. Theoretical predictions of spatiotemporal receptive fields of fly LMCs, and experimental validation , 1992, Journal of Comparative Physiology A.

[10] D. Ruderman. The statistics of natural images , 1994 .