Results 11 to 20 of about 3,028,783 (361)
Super resolution for root imaging [PDF]
Premise High‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes.
Jose F. Ruiz‐Munoz +4 more
doaj +4 more sources
Super-resolution approach tailored for wafer transmission electron microscopy images [PDF]
High-resolution wafer transmission electron microscopy (TEM) images are essential for nano-level analysis in semiconductor manufacturing. Although super-resolution offers significant potential for obtaining high-resolution images, training super ...
Sungsu Kim +8 more
doaj +2 more sources
Image Super-Resolution via Iterative Refinement [PDF]
We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising diffusion probabilistic models (Ho et al. 2020), (Sohl-Dickstein et al.
Chitwan Saharia +5 more
semanticscholar +1 more source
Image Super Resolution using Enhanced Super Resolution Generative Adversarial Network [PDF]
Aside from enhancing the accuracy and speed of single picture modification utilizing fast and in-depth convolutional emotional networks, one significant challenge remains mostly commonly unaddressed, namely how do we recover soft texture details when we ...
Sarode Raj +3 more
doaj +1 more source
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data [PDF]
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Xintao Wang +3 more
semanticscholar +1 more source
Terahertz time-domain attenuated total reflection spectroscopy integrated with a microfluidic chip
The integration of a microfluidic chip into terahertz time-domain attenuated total reflection (THz TD-ATR) spectroscopy is highly demanded for the accurate measurement of aqueous samples.
Ying Fu +14 more
doaj +1 more source
Activating More Pixels in Image Super-Resolution Transformer [PDF]
Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limited spatial range of input information through attribution analysis.
Xiangyu Chen +3 more
semanticscholar +1 more source
Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]
The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
doaj +1 more source
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution [PDF]
Owe to the powerful generative priors, the pretrained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem.
Rongyuan Wu +5 more
semanticscholar +1 more source
In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the input signal is given by a weighted superposition of delayed and Doppler shifted versions of the input.
Reinhard Heckel +2 more
openaire +3 more sources

