Ntire 2017 challenge on single image super-resolution: Methods and results
This paper reviews the first challenge on single image super-resolution (restoration of rich
details in an low resolution image) with focus on proposed solutions and results. A new …
details in an low resolution image) with focus on proposed solutions and results. A new …
On the proper use of structural similarity for the robust evaluation of medical image synthesis models
Purpose To propose good practices for using the structural similarity metric (SSIM) and
reporting its value. SSIM is one of the most popular image quality metrics in use in the …
reporting its value. SSIM is one of the most popular image quality metrics in use in the …
A novel Zero-Shot Real World Spatio-Temporal Super-Resolution (ZS-RW-STSR) model for Video Super-Resolution
Super-resolution (SR) of the degraded and real low-resolution (LR) video remains a
challenging problem despite the development of deep learning-based SR models. Most …
challenging problem despite the development of deep learning-based SR models. Most …
Are recent SISR techniques suitable for industrial applications at low magnification?
ΞIn recent years, many deep-network-based super-resolution techniques have been
proposed and have achieved impressive results for 2× and higher magnification factors …
proposed and have achieved impressive results for 2× and higher magnification factors …
Going much wider with deep networks for image super-resolution
Divide and Conquer is a well-established approach in the literature that has efficiently
solved a variety of problems. However, it is yet to be explored in full in solving image super …
solved a variety of problems. However, it is yet to be explored in full in solving image super …
On the proper use of structural similarity for the robust evaluation of medical image synthesis models
Purpose To propose good practices for using the structural similarity metric (SSIM) and
reporting its value. SSIM is one of the most popular image quality metrics in use in the …
reporting its value. SSIM is one of the most popular image quality metrics in use in the …
Mapping the unseen: exploiting super-resolution for semantic segmentation in low-resolution images
MB Pereira - 2019 - repositorio.ufmg.br
Imagens aéreas de alta resolução são desejáveis para a maior parte das aplicações de
sensoriamento remoto baseadas em algoritmos profundos. Esse tipo de dado, contudo …
sensoriamento remoto baseadas em algoritmos profundos. Esse tipo de dado, contudo …
Gradually Growing Residual and Self-attention Based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image
Due to the strong capacity of deep learning in handling unstructured data, it has been
utilized for the task of single image super-resolution (SISR). These algorithms have shown …
utilized for the task of single image super-resolution (SISR). These algorithms have shown …