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Image compression module based neural network autoencoders

A new approach is proposed to data compression in the form of a neural network module based on the structure of autoencoders, which has the most optimal learning time, compression level and obtains sufficiently clear image reconstruction. The main mechanisms for building the structure of encoder and...

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Bibliographic Details
Date:	2023
Main Authors:	Lesyk, V.O., Doroshenko, А.Yu.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2023
Subjects:	autoencoder data compression image reconstruction TensorFlow UDC 004.627
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/558
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Journal Title:	Problems in programming
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