Paper
16 December 1992 Image compression using neural network
Jun Liu, Danwei Wang
Author Affiliations +
Abstract
In this paper, we investigate the performance of image compression and decompression using counterpropagation neural network. It is noted that by using a few training image patterns (less than 20) we can compress the unlearned image data without knowing its characteristic. The selection of training image patterns is discussed. Examples are presented to demonstrate the compression method.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Liu and Danwei Wang "Image compression using neural network", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130869
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KEYWORDS
Image compression

Neural networks

Image processing

Image transmission

Data modeling

Image restoration

Signal processing

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