Results 21 to 30 of about 42,664 (162)

Blind Super-Resolution for SAR Images with Speckle Noise Based on Deep Learning Probabilistic Degradation Model and SAR Priors

Remote Sensing, 2023
As an active microwave coherent imaging technology, synthetic aperture radar (SAR) images suffer from severe speckle noise and low-resolution problems due to the limitations of the imaging system, which cause difficulties in image interpretation and ...
Chongqi Zhang, Ziwen Zhang, Yao Deng, Yueyi Zhang, Mingzhe Chong, Yunhua Tan, Pukun Liu   +6 more
doaj   +1 more source

Boosting Degradation Representation Learning for Blind Image Super-Resolution [PDF]

Jisuanji kexue yu tansuo
In most convolutional neural networks-based super-resolution (SR) methods, the degradation assumptions are fixed and known (e.g., bicubic degradation). When applying them to real-world degraded images, the mismatch between the actual degradation and the ...
YUAN Jiang, MA Ji, ZHOU Dengwen
doaj   +1 more source

Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution

IEEE Access, 2022
Blind super-resolution (blind-SR) is an important task in the field of computer vision and has various applications in real-world. Blur kernel estimation is the main element of blind-SR along with the adaptive SR networks and a more accurately estimated ...
Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, Junmo Kim   +3 more
doaj   +1 more source

Deep Learning for Single Image Super-Resolution: A Brief Review [PDF]

, 2019
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions.
Liao, Q, Tian, Y, Wang, W, Xue, J-H, Yang, W, Zhang, X   +5 more
core   +2 more sources

Zero-Shot Blind Learning for Single-Image Super-Resolution

Information, 2023
Deep convolutional neural networks (DCNNs) have manifested significant performance gains for single-image super-resolution (SISR) in the past few years.
Kazuhiro Yamawaki, Xian-Hua Han
doaj   +1 more source

Sensory Compensation in Children Following Vision Loss after Trauma and Disease [PDF]

, 2015
Sensory compensation or sensory substitution occurs when a sense organ, such as the eye, is lost due to trauma or disease. Individuals often experience phantom limb sensation or pain but research increasingly points towards some individuals developing a ...
Chinnery, H., Thompson, S.
core   +1 more source

Kernel Estimation Using Total Variation Guided GAN for Image Super-Resolution

Sensors, 2023
Various super-resolution (SR) kernels in the degradation model deteriorate the performance of the SR algorithms, showing unpleasant artifacts in the output images. Hence, SR kernel estimation has been studied to improve the SR performance in several ways
Jongeun Park, Hansol Kim, Moon Gi Kang
doaj   +1 more source

Multi-Frame Super-Resolution of Gaofen-4 Remote Sensing Images

Sensors, 2017
Gaofen-4 is China’s first geosynchronous orbit high-definition optical imaging satellite with extremely high temporal resolution. The features of staring imaging and high temporal resolution enable the super-resolution of multiple images of the same ...
Jieping Xu, Yonghui Liang, Jin Liu, Zongfu Huang   +3 more
doaj   +1 more source

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

Geocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu, Xi Xiao, Zhengpeng Zhang, Deng Mingjun   +3 more
doaj   +1 more source

Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment

, 2023
With the emergence of image super-resolution (SR) algorithm, how to blindly evaluate the quality of super-resolution images has become an urgent task.
Fu, Jun
core