Efficient Training Procedures for Multi-Spectra Demosaicing
The simultaneous acquisition of multi-spectral images on a single sensor can be efficiently performed by single shot capture using a mutli-spectral filter array. This paper focused on the demosaicing of color and near-infrared bands and relied on a convolutional neural network (CNN). To train the de...
Main Authors: | Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/10/2850 |
Similar Items
-
The Effect of the Color Filter Array Layout Choice on State-of-the-Art Demosaicing
by: Ana Stojkovic, et al.
Published: (2019-07-01) -
Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network
by: Yunjin Park, et al.
Published: (2020-05-01) -
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images
by: Xavier Soria, et al.
Published: (2018-06-01) -
Comparison of Deep Learning and Conventional Demosaicing Algorithms for Mastcam Images
by: Chiman Kwan, et al.
Published: (2019-03-01) -
Single Sensor Multi-Spectral Imaging
by: Xavier Soria Poma
Published: (2020-02-01)