High Dynamic Range and Super-Resolution Imaging From a Single Image
This paper presents an algorithm for high dynamic range (HDR) and super-resolution (SR) imaging from a single image. First, we propose a new single image HDR imaging (HDRI) method based on the Retinex approach and exploit a recent single image SR method based on a convolutional neural network (CNN)....
Main Authors: | Jae Sung Park, Jae Woong Soh, Nam Ik Cho |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8267234/ |
Similar Items
-
Joint High Dynamic Range Imaging and Super-Resolution From a Single Image
by: Jae Woong Soh, et al.
Published: (2019-01-01) -
Lightweight Single Image Super-Resolution With Multi-Scale Spatial Attention Networks
by: Jae Woong Soh, et al.
Published: (2020-01-01) -
Single Image Super Resolution Model Using Learnable Weight Factor in Residual Skip Connection
by: Ruaa A. Al-falluji, et al.
Published: (2019-01-01) -
Single Image Super-Resolution: From Discrete to Continuous Scale Without Retraining
by: Yuzhen Niu, et al.
Published: (2020-01-01) -
Single Image Super-Resolution Method Using CNN-Based Lightweight Neural Networks
by: Seonjae Kim, et al.
Published: (2021-01-01)