Results 121 to 130 of about 11,065 (211)

Reducing Decoding Complexity by Improving Motion Field Using Bicubic and Lanczos Interpolation Techniques in Wyner-Ziv Video Coding [PDF]

, 2012
I Made Oka Widyantara
openalex   +1 more source

Super-Resolution Reconstruction of Sonograms Using Residual Dense Conditional Generative Adversarial Network. [PDF]

Sensors (Basel)
Xu Z, Wei Y.
europepmc   +1 more source

Lightweight super-resolution reconstruction architecture of remote sensing images using a residual hierarchical transformer network. [PDF]

Sci Rep
Huang B, Lin J, Chen Q, Cao Y, Wu L.
europepmc   +1 more source

Lacol Interpolation Bicubic Spline Method in Digital Processing of Geophysical Signals

, 2021
Hakimjon Zaynidinov, Sayfiddin Bahromov, Bunyodbek Azimov, Muslimjon Kuchkarov   +3 more
openalex   +2 more sources

Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy. [PDF]

Discov Nano
Igarashi Y, Nagamura N, Sekine M, Fukidome H, Hino H, Okada M.   +5 more
europepmc   +1 more source

Performance Analysis of Iris Recognition Using Multi Stage Wavelet Transform Decomposition and Bicubic Interpolation Technique

, 2019
Sunil S. Harakannanavar, C. R. Prashanth, K B Raja   +2 more
openalex   +1 more source

Super-MoCo-MoDL: A combined super-resolution and motion-corrected undersampled deep-learning reconstruction framework for three-dimensional whole-heart cardiac magnetic resonance imaging. [PDF]

J Cardiovasc Magn Reson
Phair A, Littlewood SJ, Fotaki A, Fletcher TJ, Felsner L, Kim WY, Prieto C, Botnar R.   +7 more
europepmc   +1 more source

S2Transformer: Exploring Sparsity in Remote Sensing Images for Efficient Super-Resolution. [PDF]

Sensors (Basel)
Zhang Z, Xu H, Lin S, Li D, Gao Y.
europepmc   +1 more source

Super-resolution reconstruction of industrial PET images using a prior-knowledge-based generative adversarial network. [PDF]

Sci Rep
Zhu M, Zhao M, Yao M.
europepmc   +1 more source

A DEM super resolution reconstruction method based on normalizing flow. [PDF]

Sci Rep
Yu J, Li Y, Bai X, Yang R, Cui M, Wu H, Li Z, Su F, Li Z, Liang T, Yan H.   +10 more
europepmc   +1 more source