Feb 4, 2022 � To overcome this issue, we focus on designing a single-image SR reconstruction framework for real-world scenarios by injecting the image-�...
Jan 1, 2022 � Our method combines the advantages of both SISR and multiple-image super resolution (MISR) techniques by generating a dataset regarding internal�...
To overcome this issue, we focus on designing a single-image SR reconstruction framework for real-world scenarios by injecting the image-specific degradation�...
Although, this type of method can only be used as the pre-processing step of the SR task and not as an efficient scheme for high-quality SR reconstruction. Page�...
Jan 1, 2022 � Article on Self-similarity single image super-resolution based on blur kernel estimation for texture reconstruction, published in�...
Apr 25, 2024 � We propose a two stage blind super-resolution network that is based on kernel estimation strategy and is capable of integrating structural texture as prior�...
Jan 1, 2019 � Single image super-resolution aims at generating clear high-resolution image from one low-resolution image.
Oct 17, 2022 � Self-attention has been successfully leveraged for long-range feature-wise similarities in deep learning super-resolution (SR) methods.
The self-similarity-based super-resolution (SSSR) methods not only require lower memory resources, but also provide comparable visual quality to other external�...
Apr 25, 2024 � IKR-Net provides a generalized solution that can handle any type of blur and level of noise in the input low-resolution image.