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Study on Image Compression Algorithm with Deep Learning  

Lee, Yong-Hwan (Dept. of Digital Contents, Wonkwang University)
Publication Information
Journal of the Semiconductor & Display Technology / v.21, no.4, 2022 , pp. 156-162 More about this Journal
Abstract
Image compression plays an important role in encoding and improving various forms of images in the digital era. Recent researches have focused on the principle of deep learning as one of the most exciting machine learning methods to show that it is good scheme to analyze, classify and compress images. Various neural networks are able to adapt for image compressions, such as deep neural networks, artificial neural networks, recurrent neural networks and convolution neural networks. In this review paper, we discussed how to apply the rule of deep learning to obtain better image compression with high accuracy, low loss-ness and high visibility of the image. For those results in performance, deep learning methods are required on justified manner with distinct analysis.
Keywords
Image Compression; Deep Learning; Data Compression; Convolutional Neural Networks; Recurrent Neural Networks; Image Optimization;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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