Color image compression using neural network prediction of color components

Syed A. Rizvi; Nader Mohsenian; Nasser M. Nasrabadi

doi:10.1117/12.234260

4 March 1996 Color image compression using neural network prediction of color components

Syed A. Rizvi, Nader Mohsenian, Nasser M. Nasrabadi

Proceedings Volume 2664, Applications of Artificial Neural Networks in Image Processing; (1996) https://doi.org/10.1117/12.234260
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

In this paper we present a new scheme for color image compression. The proposed scheme exploits the correlation between the basic color components (red, green, and blue: RGB) by predicting two color components given one color component. Specifically, this scheme employs neural network predictors to predict the red and blue color components using the encoded (reconstructed) green color component. The prediction error is further quantized using vector quantization. The performance of the proposed scheme is evaluated and compared with that of the JPEG.

Citation Download Citation

Syed A. Rizvi, Nader Mohsenian, and Nasser M. Nasrabadi "Color image compression using neural network prediction of color components", Proc. SPIE 2664, Applications of Artificial Neural Networks in Image Processing, (4 March 1996); https://doi.org/10.1117/12.234260

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KEYWORDS

Neural networks

Image compression

Neurons

RGB color model

Computer programming

Image quality

Quantization

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