TY  - CHAP
AU  - Ahmed Cheikh Sidiya
AU  - Xin Li
ED  - Chiman Kwan
Y1  - 2020-11-04
PY  - 2020
T1  - Style-Based Unsupervised Learning for Real-World Face Image Super-Resolution
N2  - In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.
BT  - Recent Advances in Image Restoration with Applications to Real World Problems
SP  - Ch. 5
UR  - https://doi.org/10.5772/intechopen.92320
DO  - 10.5772/intechopen.92320
SN  - 978-1-83968-356-5
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -