Results 251 to 260 of about 2,065,913 (297)

Pixel super-resolved virtual staining of label-free tissue using diffusion models. [PDF]

Nat Commun
Zhang Y, Huang L, Pillar N, Li Y, Chen H, Ozcan A.   +5 more
europepmc   +1 more source

Core clock protein subcellular dynamics coordinate local and global circadian control in syncytia. [PDF]

J Cell Biol
Wang Z, Bartholomai BM, Wang B, Ritz D, Schultz D, Loros JJ, Dunlap JC.   +6 more
europepmc   +1 more source

Real-world super-resolution with VLM-based degradation prior learning. [PDF]

Sci Rep
Chen X, Mao D, Ke J.
europepmc   +1 more source

Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications. [PDF]

Vis Comput Ind Biomed Art
Wang L, Zeng W, Long K, Chen H, Lan R, Liu L, Siok WT, Wang N.   +7 more
europepmc   +1 more source

OpenLM: an open-source pixel super-resolution platform for lens-free microscopy with applications in bacterial growth monitoring and deep learning-based bacterial detection.

Lab Chip
Xu W, Ahmed S, Althumayri M, Tarman AY, Ulku MK, Yong K, Veli M, Ceylan Koydemir H.   +7 more
europepmc   +1 more source

Nonparametric Blind Super-resolution [PDF]

2013 IEEE International Conference on Computer Vision, 2013
Super resolution (SR) algorithms typically assume that the blur kernel is known (either the Point Spread Function 'PSF' of the camera, or some default low-pass filter, e.g. a Gaussian). However, the performance of SR methods significantly deteriorates when the assumed blur kernel deviates from the true one.
Tomer Michaeli, Michal Irani
openaire   +3 more sources

A VQ-Based Blind Super-Resolution Algorithm

, 2005
In this paper, a novel method of blind Super-Resolution (SR) image restoration is presented. First, a learning based blur identification method is proposed to identify the blur parameter in which Sobel operator and Vector Quantization (VQ) are used for extracting feature vectors.
Jianping Qiao, Ju Liu, Guoxia Sun
openaire   +2 more sources

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Efficient Blind Image Super-Resolution

Lecture Notes in Computer Science, 2023
Olga Vais, Ilya Makarov
openaire   +3 more sources

Deep blind super-resolution for hyperspectral images

Pattern Recognition
Pei Yang, Yong Ma 0001, Xiaoguang Mei, Qihai Chen, Minghui Wu 0007, Jiayi Ma 0001   +5 more
openaire   +4 more sources