Fire detection using statistical color model in video sequences T Celik, H Demirel, H Ozkaramanli, M Uyguroglu Journal of Visual Communication and Image Representation 18 (2), 176-185, 2007 | 478 | 2007 |
Fire and smoke detection without sensors: Image processing based approach T Çelik, H Özkaramanlı, H Demirel 2007 15th European signal processing conference, 1794-1798, 2007 | 341 | 2007 |
Fire pixel classification using fuzzy logic and statistical color model T Celik, H Ozkaramanli, H Demirel 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 142 | 2007 |
Fire detection in video sequences using statistical color model T Celik, H Demirel, H Ozkaramanli, M Uyguroglu 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 106 | 2006 |
Automatic fire detection in video sequences T Celik, H Demirel, H Ozkaramanli 2006 14th European signal processing conference, 1-5, 2006 | 105 | 2006 |
Hilbert transform pairs of orthogonal wavelet bases: Necessary and sufficient conditions R Yu, H Ozkaramanli IEEE Transactions on Signal Processing 53 (12), 4723-4725, 2005 | 86 | 2005 |
Facial feature extraction using complex dual-tree wavelet transform T Celik, H Özkaramanlı, H Demirel Computer Vision and Image Understanding 111 (2), 229-246, 2008 | 79 | 2008 |
Complex wavelet transform-based face recognition A Eleyan, H Özkaramanli, H Demirel EURASIP Journal on Advances in Signal Processing 2008, 1-13, 2009 | 71 | 2009 |
On the phase condition and its solution for Hilbert transform pairs of wavelets bases H Ozkaramanli, R Yu 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 66 | 2003 |
Hilbert transform pairs of biorthogonal wavelet bases R Yu, H Ozkaramanli IEEE Transactions on Signal Processing 54 (6), 2119-2125, 2006 | 44 | 2006 |
Wavelet domain dictionary learning-based single image superresolution M Nazzal, H Ozkaramanli Signal, Image and Video Processing 9, 1491-1501, 2015 | 40 | 2015 |
Region-based super-resolution aided facial feature extraction from low-resolution sequences T Celik, C Direkoglu, H Ozkaramanli, H Demirel, M Uyguroglu Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 36 | 2005 |
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness F Yeganli, M Nazzal, M Unal, H Ozkaramanli Signal, image and video processing 10, 535-542, 2016 | 28 | 2016 |
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle F Yeganli, M Nazzal, H Ozkaramanli Signal, Image and Video Processing 9, 285-293, 2015 | 17 | 2015 |
Image denoising via correlation-based sparse representation G Baloch, H Ozkaramanli Signal, Image and Video Processing 11, 1501-1508, 2017 | 16 | 2017 |
Single image super resolution based on sparse representation via directionally structured dictionaries F Farhadifard, E Abar, M Nazzal, H Ozkaramanh 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 15 | 2014 |
Residual correlation regularization based image denoising G Baloch, H Ozkaramanli, R Yu IEEE Signal Processing Letters 25 (2), 298-302, 2018 | 14 | 2018 |
Image super-resolution via sparse representation over coupled dictionary learning based on patch sharpness F Yeganli, M Nazzal, M Unal, H Ozkaramanli 2014 European Modelling Symposium, 203-208, 2014 | 14 | 2014 |
Multi-wavelets from B-spline super-functions with approximation order H Özkaramanli, A Bhatti, B Bilgehan Signal processing 82 (8), 1029-1046, 2002 | 14 | 2002 |
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation F Yeganli, M Nazzal, H Ozkaramanli 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 11 | 2016 |