References
- Wegmann B and Zetzsche C 1990 Visual system based polar quantization of local amplitude and local phase of orientation filter outputs Human Vision and Electronic Imaging: Models, Methods, and Applications vol 1249, ed B Rogowitz (Bellingham, WA: SPIE) pp 306–17
- Zetzsche C, Krieger G and Wegmann B 1999 The atoms of vision: Cartesian or polar? J. Opt. Soc. Am. A 16 1554–65
- AtickJJ 1992 Could information theory provide an ecological theory of sensory processing? Network: Comput. Neural Syst. 3 213–51
- Zetzsche C, Barth E and Wegmann B 1993 The importance of intrinsically two-dimensional image features in biological vision and picture coding Digital Images and Human Vision ed A Watson (Cambridge, MA: MIT Press) pp 109–38
- Field DJ 1994 What is the goal of sensory coding? Neural Comput. 6 559–601
- Zetzsche C and Krieger G 2001 Nonlinear mechanisms and higher-order statistics in biological vision and electronic image processing: review and perspectives J. Electron. Imaging 10 56–99
- Field DJ 1987 Relations between the statistics of natural images and the response properties of cortical cells J. Opt. Soc. Am. A 4 2379–94
- Zetzsche C and Schonecker W 1987 Orientation selective filters lead to entropy reduction in the processing of natural images Perception 16 229
- Olshausen B A and Field DJ 1996 Wavelet-like receptive fields emerge from a network that learns sparse codes for natural images Nature 381 607–9
- Bell A and Sejnowski T 1997 The independent components of natural scenes are edge filters Vis. Res. 37 3327–38
- van Hateren J and van der Schaaf A 1998 Independent component filters of natural images compared with simple cells in primary visual cortex Proc. R. Soc. B 265
- Zetzsche C and Krieger G 1999 Nonlinear neurons and higher-order statistics: new approaches to human vision and electronic image processing Human Vision and Electronic Image Processing (Proc. SPIE Vol. 3644) ed B Rogowitz and T Pappas (Bellingham, WA: SPIE) pp 2–33
- Wegmann B and Zetzsche C 1990 Statistical dependence between orientation filter outputs used in a human vision based image code Visual Communication and Image Processing (Proc. SPIE Vol. 1360) ed M Kunt (Bellingham, WA: SPIE) pp 909–23
- Zetzsche C, Barth E and Wegmann B 1993 Nonlinear aspects of primary vision: entropy reduction beyond decorrelation (Invited Address) Soc. Inform. Display (SID) Int. Symp. (Playa del Ray, CA) “Digest of Technical Papers vol 24, ed J Morreale pp 933–6
- Simoncelli E and Buccigrossi R 1997 Embedded wavelet image compression based on a joint probability model 4th Int. Conf. on Image Processing (Santa Barbara, CA, 1997) (IEEE) pp 640–3
- Simoncelli E P and Schwartz O 1999 Modeling surround suppression in V1 neurons with a statistically-derived normalization model Advances in Neural Information Processing Systems vol 11, ed MS Kearns, SA Solla and DA Cohn (Cambridge, MA: MIT Press) pp 153–9
- Olshausen B and Field D 1997 Sparse coding with an overcomplete basis set: a strategy employed by V1? Vis. Res. 37 3311–25
- Adelson E H and Bergen JR 1985 Spatiotemporal energy models for the perception of motion J. Opt. Soc. Am. A 2 284–99
- Heeger D, Simoncelli E and Movshon J 1996 Computational models of cortical visual processing Proc. Natl Acad. Sci. USA 93 623–7
- Gray RM 1984 Vector quantization IEEE ASSP Mag. 1 4–29
- Rosenfeld A and Kak AC 1982 Digital Picture Processing (Orlando, FL: Academic)
- Albrecht D and Geisler W 1991 Motion selectivity and the contrast-response function of simple cells in the visual cortex Vis. Neurosci. 7 531–46
- Zetzsche C and Barth E 1990 Fundamental limits of linear filters in the visual processing of two-dimensional signals Vis. Res. 30 1111–7
- Wilson H and Wilkinson F 1997 Evolving concepts of spatial channels in vision: from independence to nonlinear interactions Perception 26 939–60
- Grashey S 1992 Exploitation of statistical dependencies between orientation filters at different scales Diploma Thesis (EE) Lehrstuhl fur Nachrichtentechnik, Technische Universitat Mu¨nchen (in German)
- Allman J, Miezin F and McGuiness E 1985 Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons Ann. Rev. Neurosci. 8 407–30
- Vinje W and Gallant J 2000 Sparse coding and decorrelation in primary visual cortex during natural vision Science 287 1273–6
- DeValois RL and DeValois KK 1988 Spatial Vision (New York: Oxford University Press)
- Zetzsche C and Krieger G 2001 Intrinsic dimensionality: nonlinear image operators and higher-order statistics Nonlinear Image Processing ed G Sicuranza and S Mitra (San Diego, CA: Academic)
- Ferster D and Miller K 2000 Neural mechanisms of orientation selectivity in the visual cortex Ann. Rev. Neurosci. 23 441–71
- Hyvarinen A 1999 Fast and robust fixed-point algorithms for independent component analysis IEEE Trans. Neural Networks 10 626–34
- Skottun B C, DeValois R L, Grosof D H, Movshon J A, Albrecht D G and Bonds AB 1991 Classifying simple and complex cells on the basis of response modulation Vis. Res. 31 1079–86
- Krieger G and Zetzsche C 1996 Nonlinear image operators for the evaluation of local intrinsic dimensionality (Special Issue on Nonlinear Image Processing) IEEE Trans. Image Process. 5 1026–42
- Hyvarinen A and Hoyer P 2000 Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces Neural Comput. 12 1705–20
- Krieger G, Zetzsche C and Barth E 1997 Higher-order statistics of natural images and their exploitation by operators selective to intrinsic dimensionality Proc. IEEE Signal Processing Workshop on Higher-Order Statistics vol PR08005 (Los Alamitos, CA: IEEE Computer Society) pp 147–51