Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion

Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion

We propose a new hardware-friendly super-resolution (SR) algorithm using computationally simple feature extraction and regression methods, i.e., local binary pattern (LBP) and linear mapping, respectively. The proposed method pre-trains dedicated linear mapping kernels for different texture types of...

Full description

Bibliographic Details
Main Authors: Sung-Ho Bae, Jae-Hyeong Bae, Abdul Muqeet, Mst Sirazam Monira, Lokwon Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Local binary pattern
real-time
super-resolution
UHD
Online Access:https://ieeexplore.ieee.org/document/9252878/

Internet

https://ieeexplore.ieee.org/document/9252878/

Similar Items