Image Compression: Sparse Coding vs. Bottleneck Autoencoders

Bottleneck autoencoders have been actively researched as a solution to image compression tasks. However, we observed that bottleneck autoencoders produce subjectively low quality reconstructed images. In this work, we explore the ability of sparse coding to improve reconstructed image quality for th...

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Veröffentlicht in:	arXiv.org 2018-01
Hauptverfasser:	Watkins, Yijing, Sayeh, Mohammad, Iaroshenko, Oleksandr, Kenyon, Garrett
Format:	Artikel
Sprache:	eng
Schlagworte:	Image classification Image coding Image compression Image quality Image reconstruction
Online-Zugang:	Volltext
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