Image denoising using RANSAC and compressive sensing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13192-5.pdf
Reference57 articles.
1. Aggarwal HK, Majumdar A (2016) Hyperspectral image denoising using spatio-spectral total variation. IEEE Geosci Remote Sens Lett 13 (3):442–446
2. Arad B, Ben-Shahar O (2016) Sparse Recovery of hyperspectral signal from natural RGB images. In: Leibe B, Matas J, Sebe N, Welling M. (eds) Computer vision – ECCV 2016. ECCV 2016. Lecture notes in computer science, vol 9911. Springer, Cham, pp 19–35
3. Baraniuk RG (2007) Compressive sensing. IEEE Signal Proc Mag 24(4):118–121
4. Bartyzel K (2016) Adaptive Kuwahara filter. Signal Imag Video Process 10:663–670
5. Blumensath T (2011) Sampling and reconstructing signals from a union of linear subspaces. IEEE Trans Inf Theory 57(7):4660–4671
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