Adaptive Image Compression Using Neural Networks
نویسندگان
چکیده
In this article applying neural networks in order to compress images adaptively based on their entropies has been studied. A three-layer perceptron network is used basically, to compress the blocks of Images. In order to improve such a network, we have used various networks with different compression ratios, for the image with different complexities and details. In order to measure the complexity of an image, entropy was used to estimate the amount of Information being present. The results of compression with such a network indicate that the compressed image has a very good visual quality and somehow they have improvement over commercial JPEG format in the same compression ratio.
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