Image processing method and apparatus

Image analysis – Image compression or coding – Gray level to binary coding

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Details

382162, 382156, 395109, 706 42, G06K 936

Patent

active

059956690

ABSTRACT:
An image processing apparatus includes an input unit for entering a plurality of color image signals, an image processing unit for subjecting the plurality of entered color image signals to processing based upon an algorithm of a cellular neural network, and a comparison decision unit for deciding output color data based upon results of processing by the image processing unit. Since input multivalued color image data based upon the algorithm of a neural network are converted to output color image data, it is possible to obtain a high-quality output color image that is faithful to the input color image.

REFERENCES:
patent: 5253330 (1993-10-01), Ramacher et al.
"Self-Organized Color Image Quantization For Color Image Data Compression", K. Godfrey et al., Proceedings of The International Conference on Neural Networks (ICN, San Francisco, Ca, Mar. 28-Apr. 1, 1993, Vol. 3, Mar. 28, 1993, Institute of Electrical and Electronics Engineering, PP. 1622-1626, XP000379519.
"Multiple Layer Discrete-Time Cellular Neural Networks Using Time-Varient Templates", H. Harrer, IEE Transactions On Circuit and Systems II: Analog and Digital Signal Processing vol. 40, No. 3, Mar. 1, 1993, pp. 191-199, XP000385539.
"Image Halftoning With Cellular Neural Networks" K. Crounse et al. IEEE Transactions On Circuits and Systems II: Analog and Digital Signal Processing, vol. 40, No. 4, Apr. 1, 1993, pp. 267-283, XP0003849862.
"Parallel Analog Image Coding and Decoding By Using Cellular Neural Networks", M. Tanaka, et al., IEICE Transactions On Fundamentals of Elecectronics, Communications and Computer Sciences, vol. E77-A, No. 8, Aug. 1, 1994, pp. 1387-1394, XP000445433.

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