Architecture Design for Real-Time CNN-Based Super Resolution Using Multi-Layer Computation
碩士 === 國立臺灣大學 === 電子工程學研究所 === 106 === In recent years, the display resolution on end devices is enhancing rapidly. The super resolution aims to enhance visual quality when low-resolution contents play at high-resolution displays. Besides, high frame-rate is also an important issue to make the scene...
Main Authors: | Chung-Yan Chih, 池忠諺 |
---|---|
Other Authors: | 陳良基 |
Format: | Others |
Language: | en_US |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/e3h95p |
Similar Items
-
CNN Acceleration With Hardware-Efficient Dataflow for Super-Resolution
by: Sumin Lee, et al.
Published: (2020-01-01) -
A Multi-Scale Wavelet 3D-CNN for Hyperspectral Image Super-Resolution
by: Jingxiang Yang, et al.
Published: (2019-06-01) -
Multi-Path Deep CNN with Residual Inception Network for Single Image Super-Resolution
by: Wazir Muhammad, et al.
Published: (2021-08-01) -
Image Super-Resolution Reconstruction Based on Disparity Map and CNN
by: Yujia Liu, et al.
Published: (2018-01-01) -
Framebuffer-Free Architecture Design of Dictionary Learning-Based Super-Resolution Real-Time System
by: Kuan-Ling Liu, et al.
Published: (2017)