Research output per year
Research output per year
Description
BVI-CLEAR is a set of datasets for research on removing atmospheric turbulence distortion from images and videos. BVI-CLEAR contains two types of atmospheric turbulence sequences: i) synthetic sequences and ii) real sequences.
| Date made available | 18 Mar 2022 |
|---|---|
| Publisher | University of Bristol |
Research output
- 2 Article (Academic Journal)
-
Atmospheric turbulence removal with complex-valued convolutional neural network
Anantrasirichai, N., 1 Jul 2023, In: Pattern Recognition Letters. 171, p. 69-75 7 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access34 Citations (Scopus) -
Atmospheric Turbulence Mitigation using Complex Wavelet-based Fusion
Anantrasirichai, N., Achim, A. M., Kingsbury, N. & Bull, D. R., Jun 2013, In: IEEE Transactions on Image Processing. 22, 6, p. 2398-2408Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile145 Citations (Scopus)1608 Downloads (Pure)
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