Jan 1, 2015 · Image super-resolution (SR) is the technique of inferring a high-resolution (HR) image from low-resolution (LR) inputs. This technique has been ...
In this study, the authors consider the problem of image super-resolution (SR) in terms of the perceptual criteria. Existing SR methods treat the ...
In this study, the authors consider the problem of image super-resolution (SR) in terms of the perceptual criteria. Existing SR methods treat the ...
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What is the difference between single image and multi image super-resolution?
What is super-resolution in medical image processing?
Single‐frame image super‐resolution inspired by perceptual criteria. Authors. Zhou, Fei; Liao, Qingmin. Abstract. In this study, the authors consider the ...
May 18, 2023 · Here we develop a deep-learning based single-frame super-resolution microscopy (SFSRM) method which utilizes a subpixel edge map and a multicomponent ...
Missing: criteria. | Show results with:criteria.
Image quality assessment (IQA) technique in general incorporate qualitative techniques based on human perception such as how realistic the image appears and ...
PDF | On Sep 1, 2017, Guangcheng Wang and others published Perceptual evaluation of single-image super-resolution reconstruction | Find, read and cite all ...
We propose a novel application of automated texture syn- thesis in combination with a perceptual loss focusing on creating realistic textures rather than ...
We employ a Generative. Adversarial Network (GAN) in unsupervised manner to ob- tain perceptually superior SR image. Additionally, we also introduce a novel ...
Jul 13, 2021 · This survey is an effort to provide a detailed survey of recent progress in single-image super-resolution in the perspective of deep learning