Comparing Artificial Neural Networks (ANN) Image Compression Technique with Different Image Compression Techniques
Celal Bayar U., Electric-Eleetronic Eng. Dep., Manisa, Turkey
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Math. Comput. Appl. 1996, 1(1), 165-171; https://doi.org/10.3390/mca1010165
Published: 1 June 1996
Abstract
In this paper it is presented that, 256 × 256 16 gray level images can be compressed fast and efficiently by using neural networks . Compression results were compared with the other methods according to mean square error (MSE) and visual of the image and it is seen that by further works on ANN the images can be compressed better.
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MDPI and ACS Style
Karlık, B.; Aydın, S.; Kılıç, İ. Comparing Artificial Neural Networks (ANN) Image Compression Technique with Different Image Compression Techniques. Math. Comput. Appl. 1996, 1, 165-171. https://doi.org/10.3390/mca1010165
AMA Style
Karlık B, Aydın S, Kılıç İ. Comparing Artificial Neural Networks (ANN) Image Compression Technique with Different Image Compression Techniques. Mathematical and Computational Applications. 1996; 1(1):165-171. https://doi.org/10.3390/mca1010165
Chicago/Turabian StyleKarlık, Bekir, Serkan Aydın, and İlker Kılıç. 1996. "Comparing Artificial Neural Networks (ANN) Image Compression Technique with Different Image Compression Techniques" Mathematical and Computational Applications 1, no. 1: 165-171. https://doi.org/10.3390/mca1010165
