Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features

A novel image scanning and transmission system is proposed, where the traditional raster scan is replaced with a new one, called a chaotic scan. The result is a low complexity image transmission system with encryption and spread spectrum capabilities well suited for compressed sensing applications. Due to the uncorrelated nature of the consecutively scanned pixels, it allows a form of progressive compression and fast discovery of the relevant image features using only a small fraction of the transmitted pixels. The key ingredient of the proposed system is a chaotic counter addressing the sensor array, based on a cellular automaton exhibiting a pseudo-random chaotic behavior and binary synchronization property.

[1]  Thyagaraju R. Damarla,et al.  Applications of one-dimensional cellular automata and linear feedback shift registers for pseudo-exhaustive testing , 1993, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[2]  Michael T. Manry,et al.  Progressive image transmission , 1993, IEEE Trans. Circuits Syst. Video Technol..

[3]  Grinstein,et al.  Entrainment and communication with dissipative pseudorandom dynamics. , 1995, Physical review letters.

[4]  Narayan Srinivasa,et al.  Execution of saccades for active vision using a neurocontroller , 1997 .

[5]  Kiyoharu Aizawa,et al.  On sensor image compression , 1997, IEEE Trans. Circuits Syst. Video Technol..

[6]  R. Zunino.  Fractal circuit layout for spatial decorrelation of images , 1998 .

[7]  Michael Peter Kennedy,et al.  The role of synchronization in digital communications using chaos. II. Chaotic modulation and chaotic synchronization , 1998 .

[8]  Hugo De Man,et al.  An efficient VLSI architecture for 2-D wavelet image coding with novel image scan , 1999, IEEE Trans. Very Large Scale Integr. Syst..

[9]  R. Etienne-Cummings,et al.  A foveated silicon retina for two-dimensional tracking , 2000 .

[10]  Martin Pellkofer,et al.  EMS-Vision: a perceptual system for autonomous vehicles , 2002, IEEE Trans. Intell. Transp. Syst..

[11]  Stephen Wolfram,et al.  A New Kind of Science , 2003, Artificial Life.

[12]  W. Wong,et al.  Design of an electronic saccadic imaging system , 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).

[13]  Orly Yadid-Pecht,et al.  Morton (Z) scan based real-time variable resolution CMOS image sensor , 2005, IEEE Trans. Circuits Syst. Video Technol..

[14]  Justin Dauwels,et al.  Synchronization of Pseudorandom Signals by Forward-Only Message Passing With Application to Electronic Circuits , 2006, IEEE Transactions on Information Theory.

[15]  Amine Bermak,et al.  Adaptive-Quantization Digital Image Sensor for Low-Power Image Compression , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[16]  Alexander Fish,et al.  Low-power “Smart” CMOS image sensors , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[17]  R. Dogaru.  Hybrid cellular automata as pseudo-random number generators with binary synchronization property , 2009, 2009 International Symposium on Signals, Circuits and Systems.

[18]  Radu Dogaru,et al.  Binary Chaos Synchronization in Elementary Cellular Automata , 2009, Int. J. Bifurc. Chaos.

[19]  Hyongsuk Kim,et al.  Binary synchronization of chaos in hybrid cellular automata for low complexity image compression and transmission , 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).