X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (6227) 6227
Conference Proceeding (3530) 3530
Dissertation (251) 251
Book Chapter (140) 140
Publication (39) 39
Book / eBook (20) 20
Government Document (9) 9
Magazine Article (4) 4
Web Resource (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
super-resolution (4647) 4647
image resolution (2154) 2154
image reconstruction (1723) 1723
super resolution (1472) 1472
engineering, electrical & electronic (1277) 1277
algorithms (1015) 1015
interpolation (942) 942
spatial resolution (940) 940
microscopy (867) 867
super-resolution microscopy (803) 803
signal resolution (783) 783
reconstruction (752) 752
resolution (681) 681
training (670) 670
image processing (647) 647
optics (586) 586
humans (540) 540
computer science, artificial intelligence (524) 524
sparse representation (490) 490
dictionaries (488) 488
imaging (487) 487
superresolution (471) 471
fluorescence (467) 467
analysis (437) 437
fluorescence microscopy (435) 435
image restoration (405) 405
physics, applied (404) 404
super-resolution imaging (400) 400
computer science, information systems (376) 376
computer science (372) 372
image super-resolution (360) 360
deep learning (359) 359
animals (358) 358
regularization (358) 358
remote sensing (350) 350
image edge detection (337) 337
materials science, multidisciplinary (322) 322
feature extraction (321) 321
algorithm (313) 313
optimization (308) 308
imaging science & photographic technology (287) 287
neural networks (283) 283
image enhancement (282) 282
usage (280) 280
cell biology (278) 278
chemistry, multidisciplinary (275) 275
proteins (275) 275
nanoscience & nanotechnology (273) 273
cameras (268) 268
super-resolution reconstruction (268) 268
image quality (265) 265
localization (256) 256
machine learning (252) 252
estimation (250) 250
computer science, software engineering (247) 247
methods (244) 244
chemistry, physical (242) 242
microscopy, fluorescence - methods (242) 242
telecommunications (237) 237
strontium (235) 235
noise (229) 229
mathematical models (224) 224
biochemistry & molecular biology (218) 218
convolution (210) 210
convolutional neural network (206) 206
restoration (206) 206
超解像 (197) 197
image registration (196) 196
magnetic resonance imaging (188) 188
画像 (187) 187
motion estimation (186) 186
computer simulation (180) 180
convolutional neural networks (178) 178
registration (174) 174
cells (172) 172
kernel (172) 172
research (171) 171
radiology, nuclear medicine & medical imaging (170) 170
face (167) 167
deconvolution (165) 165
super‐resolution (164) 164
dictionary learning (162) 162
bildauflösung (161) 161
engineering (159) 159
optical imaging (157) 157
biology (156) 156
conferences (155) 155
nanoscopy (155) 155
single image super-resolution (155) 155
learning (154) 154
pixels (154) 154
high resolution (151) 151
computer science, theory & methods (150) 150
dynamics (150) 150
multidisciplinary sciences (150) 150
representations (150) 150
light (149) 149
localization microscopy (149) 149
more...
Library Location Library Location
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (9702) 9702
Japanese (442) 442
Chinese (113) 113
French (55) 55
Korean (27) 27
Turkish (9) 9
Spanish (8) 8
Portuguese (6) 6
German (5) 5
Czech (4) 4
Polish (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Remote sensing (Basel, Switzerland), ISSN 2072-4292, 2016, Volume 8, Issue 7, p. 594
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for... 
Super-resolution | Segmentation | Convolutional neural networks | Multiresolution | Enhancement | Machine learning | DATA-FUSION | QUALITY | super-resolution | SPECTRAL RESOLUTION IMAGES | enhancement | machine learning | PAN-SHARPENING METHOD | REMOTE SENSING | multiresolution | segmentation | CONTRAST | convolutional neural networks | LANDSAT THEMATIC MAPPER
Journal Article
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 11/2019, Volume 38, Issue 6, pp. 1 - 13
Existing deep learning approaches to single image super-resolution have achieved impressive results but mostly assume a setting with fixed pairs of high... 
deep learning | blind image super-resolution | image super-resolution | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Image Super-resolution | Blind Image Super-resolution | Deep Learning
Journal Article
International journal of imaging systems and technology, ISSN 1098-1098, 2004, Volume 14, Issue 2, pp. 47 - 57
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2019, Volume 398, pp. 293 - 303
A common issue of deep neural networks-based methods for the problem of Single Image Super-Resolution (SISR), is the recovery of finer texture details when... 
Deep learning | Super-resolution | Perceptual loss | GANs
Journal Article
Angewandte Chemie International Edition, ISSN 1433-7851, 07/2015, Volume 54, Issue 28, pp. 8054 - 8066
Journal Article