Information recovery from rank-order encoded images
暂无分享,去创建一个
[1] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[2] D. Dacey. The mosaic of midget ganglion cells in the human retina , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[3] J. Atick,et al. STATISTICS OF NATURAL TIME-VARYING IMAGES , 1995 .
[4] Joseph J. Atick,et al. Towards a Theory of Early Visual Processing , 1990, Neural Computation.
[5] Scott Daly,et al. Digital Images and Human Vision , 1993 .
[6] Pramod K. Varshney,et al. A human perception inspired quality metric for image fusion based on regional information , 2007, Inf. Fusion.
[7] S. Thorpe,et al. 1 BIOLOGICAL CONSTRAINTS ON CONNECTIONIST MODELLING , 1989 .
[8] Alexander Toet,et al. Perceptual evaluation of different image fusion schemes , 2003 .
[9] G. Qu,et al. Information measure for performance of image fusion , 2002 .
[10] John E. Dowling. Neurons and Networks: An Introduction to Neuroscience , 1992 .
[11] Refractor. Vision , 2000, The Lancet.
[12] R. Johansson,et al. First spikes in ensembles of human tactile afferents code complex spatial fingertip events , 2004, Nature Neuroscience.
[13] Joseph J. Atick,et al. What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.
[14] Barney M. Berlin,et al. Size , 1989, Encyclopedia of Evolutionary Psychological Science.
[15] F. Attneave. Some informational aspects of visual perception. , 1954, Psychological review.
[16] R. Masland. The fundamental plan of the retina , 2001, Nature Neuroscience.
[17] Zhaoping Li. Different Retinal Ganglion Cells have Different Functional Goals , 1992, Int. J. Neural Syst..
[18] Jacques Gautrais,et al. SpikeNET: A simulator for modeling large networks of integrate and fire neurons , 1999, Neurocomputing.
[19] E. D. Adrian,et al. The Basis of Sensation , 1928, The Indian Medical Gazette.
[20] Zhou Wang,et al. Why is image quality assessment so difficult? , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[21] D. Field,et al. Natural image statistics and efficient coding. , 1996, Network.
[22] H. K. Hartline,et al. INHIBITION IN THE EYE OF LIMULUS , 1956, The Journal of general physiology.
[23] Stéphane Mallat,et al. Matching pursuit of images , 1995, Proceedings., International Conference on Image Processing.
[24] C. Blackstone. The Neuron: Cell and Molecular Biology , 2003 .
[25] Michael I. Jordan,et al. The Handbook of Brain Theory and Neural Networks , 2002 .
[26] Rufin van Rullen,et al. SpikeNet: real-time visual processing with one spike per neuron , 2004, Neurocomputing.
[27] S. Thorpe,et al. Speed of processing in the human visual system , 1996, Nature.
[28] M. Diamond,et al. The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex , 2001, Neuron.
[29] Vladimir Petrovic,et al. Objective evaluation of signal-level image fusion performance , 2005 .
[30] Vladimir S. Petrovic,et al. Subjective tests for image fusion evaluation and objective metric validation , 2007, Inf. Fusion.
[31] D. Dacey,et al. Dendritic field size and morphology of midget and parasol ganglion cells of the human retina. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[32] Simon J Thorpe,et al. SpikeNET: an event-driven simulation package for modelling large networks of spiking neurons , 2003, Network.
[33] Gerhard W. Cibis,et al. Clinical Anatomy of the Eye , 1990 .
[34] M. Land. Eye Movements in Daily Life , 2003 .
[35] Peter G. J. Barten,et al. Contrast sensitivity of the human eye and its e ects on image quality , 1999 .
[36] Michael J. Berry,et al. The Neural Code of the Retina , 1999, Neuron.
[37] William H. Press,et al. Numerical recipes in C , 2002 .
[38] B. Boycott,et al. Retinal ganglion cell density and cortical magnification factor in the primate , 1990, Vision Research.
[39] Stephen B. Furber,et al. Maximising information recovery from rank-order codes , 2007, SPIE Defense + Commercial Sensing.
[40] Jacques Gautrais,et al. Rapid Visual Processing using Spike Asynchrony , 1996, NIPS.
[41] B J Melloni,et al. How the retina works. , 1971, American Family Physician.
[42] Y. Petrov,et al. Local correlations, information redundancy, and sufficient pixel depth in natural images. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[43] Li Zhaoping,et al. The distribution of visual objects on the retina: connecting eye movements and cone distributions. , 2003, Journal of vision.
[44] William Bialek,et al. Statistics of Natural Images: Scaling in the Woods , 1993, NIPS.
[45] Rufin van Rullen,et al. Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex , 2001, Neural Computation.
[46] Michael T. Heath,et al. Scientific Computing: An Introductory Survey , 1996 .
[47] S. A. Talbot. Physiology of the retina and the visual pathway , 1961 .
[48] Jacques Gautrais,et al. Rank order coding , 1998 .
[49] Steve Furber,et al. Information recovery from rank-order encoded images , 2006 .
[50] Li Zhaoping,et al. Theoretical understanding of the early visual processes by data compression and data selection , 2006, Network.
[51] Rogério Melo Kinape,et al. A study of the most important image quality measures , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[52] S. Thorpe,et al. Spike times make sense , 2005, Trends in Neurosciences.
[53] R. Hetherington. The Perception of the Visual World , 1952 .
[54] Alexander Toet,et al. Performance comparison of different gray-level image fusion schemes through a universal image quality index , 2003, SPIE Defense + Commercial Sensing.
[55] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[56] S. Thorpe,et al. A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes , 2001, Journal of Cognitive Neuroscience.
[57] D Kersten,et al. Predictability and redundancy of natural images. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[58] Paul S. Fisher,et al. Image quality measures and their performance , 1995, IEEE Trans. Commun..
[59] P. Sterling,et al. How Much the Eye Tells the Brain , 2006, Current Biology.
[60] S. Laughlin,et al. Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[61] Vladimir S. Petrovic,et al. Evaluation of Image Fusion Performance with Visible Differences , 2004, ECCV.
[62] B. Boycott,et al. Functional architecture of the mammalian retina. , 1991, Physiological reviews.
[63] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[64] S. W. Kuffler. Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.
[65] A. Bovik,et al. A universal image quality index , 2002, IEEE Signal Processing Letters.
[66] Bruno A. Olshausen,et al. Vision and the Coding of Natural Images , 2000, American Scientist.
[67] Simon J. Thorpe,et al. Ultra-Rapid Scene Categorization with a Wave of Spikes , 2002, Biologically Motivated Computer Vision.
[68] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[69] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[70] H. Kolb,et al. The midget pathways of the primate retina , 2004, Documenta Ophthalmologica.
[71] Michael J. Berry,et al. Redundancy in the Population Code of the Retina , 2005, Neuron.
[72] J. V. van Hateren,et al. Real and optimal neural images in early vision , 1992, Nature.
[73] R. W. Rodieck. The First Steps in Seeing , 1998 .
[74] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[75] Pavel Slavík,et al. Evaluation of two principal approaches to objective image quality assessment , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..
[76] Henk J. A. M. Heijmans,et al. A new quality metric for image fusion , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[77] J Gautrais,et al. Rate coding versus temporal order coding: a theoretical approach. , 1998, Bio Systems.
[78] R. W. Rodieck. Quantitative analysis of cat retinal ganglion cell response to visual stimuli. , 1965, Vision research.
[79] Edward H. Adelson,et al. The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..
[80] Vladimir S. Petrovic,et al. Objective pixel-level image fusion performance measure , 2000, SPIE Defense + Commercial Sensing.