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4 March 1996 Color image compression using neural network prediction of color components
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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