Deep Concatenated Residual Networks for Improving Quality of Halftoning-Based BTC Decoded Image

Deep Concatenated Residual Networks for Improving Quality of Halftoning-Based BTC Decoded Image

This paper presents a simple technique for improving the quality of the halftoning-based block truncation coding (H-BTC) decoded image. The H-BTC is an image compression technique inspired from typical block truncation coding (BTC). The H-BTC yields a better decoded image compared to that of the cla...

Full description

Bibliographic Details
Main Authors: Heri Prasetyo, Alim Wicaksono Hari Prayuda, Chih-Hsien Hsia, Jing-Ming Guo
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Imaging
Subjects:
block truncation coding
convolutional neural networks
deep learning
halftoning
residual learning
image reconstruction
Online Access:https://www.mdpi.com/2313-433X/7/2/13

Internet

https://www.mdpi.com/2313-433X/7/2/13

Similar Items