Neural network video image processor

Details Neural network video image processor Neural network video image processor

1993-09-10

1994-12-27

Kostak, Victor R.

Television

Camera, system and detail

Combined image signal generator and general image signal...

348748, 395 23, H04N 964

Patent

active

053769627

ABSTRACT:
A signal processing system for a video camera uses a single neural network to implement multiple nonlinear signal processing functions. In one example, the neural network implements gamma correction, contrast compression, color correction, high pass filtering and aperture correction as a combined function which is emulated by the network. The network is trained off-line using back propagation to emulate the entire composite function for a set of parameters which results in multiple sets of weighting factors. Then, using the stored multiple sets of weighting factors as initial values, the neural network is "re-trained" on-line for each new parameter setting. The use of a single neural network in place of the multiple dedicated processing functions reduces engineering effort to develop the product and may reduce the cost of the total system.

REFERENCES:
patent: 5212765 (1993-05-01), Skeirik
patent: 5216463 (1993-06-01), Morita
patent: 5255347 (1993-10-01), Matsuba et al.
Hecht-Nielsen, Robert, Theory of the Backpropagation Neural Network, IEEE Joint Conf. on Neural Networks, vol. 1, at pp. 1593-1605.
Parulski, K. A. et al., "A Digital Color CCD Imaging System Using Custom VLSI Circuits," IEEE Transactions on Consumer Electronics, vol. 35, No. 3, at pp. 382, 388 (Aug. 1989).
Lu, Cheng-Chang and Yong Ho Shin, "A Neural Network Based Image Compressions System", IEEE Transactions on Consumer Electronics, vol. 38, No. 1, at pp. 25-29 (Feb. 1992).
Wilson, Stephen S., "Neural Computing on a One Dimensional Simd Array", Parallel and Distributed Processing, at pp. 206-211.
Hertz, Krough & Palmer, "6.1 Back-Propagation", Introduction to the Theory of Neural Computation, at pp. 119-120 (1991).

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