2018
P. Chandramouli, M. Jin, D. Perrone and P. Favaro. Plenoptic Image Motion Deblurring. in IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1723-1734, April 2018.|
[Project Page]
2015
D. Perrone. Towards a Novel Paradigm in Blind Deconvolution: From Natural to Cartooned Image Statistics. PhD thesis, University of Bern, 2015. PhD Faculty Award
D. Perrone and P. Favaro, A Clearer Picture of Total Variation Blind Deconvolution, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), September 2015.
D. Perrone and P. Favaro, A Logarithmic Image Prior for Blind Deconvolution, in International Journal of Computer Vision (IJCV), pp. 1-14, September 2015.
[pdf]
D. Perrone, R. Diethelm and P. Favaro, Blind Deconvolution via Lower-Bounded Logarithmic Image Priors, in International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015.
[Project page] [pdf] [Results 1][Results 2]
2014
D. Perrone and P. Favaro, Total Variation Blind Deconvolution: The Devil is in the Details, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
[Project page] [pdf] [Technical Report]
2012
D. Perrone, D. Humphreys, R. Lamb and P. Favaro, Evaluation of image deblurring methods via a classification metric, in Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI, 2012.
[pdf]
D. Perrone, A. Ravichandran, R. Vidal and P. Favaro, Image Priors for Image Deblurring with Uncertain Blur, in Proceedings of the British Machine Vision Conference, 2012.
[pdf]
2010
D. Perrone, L. Iocchi and and P. C. Antonello: Real-time stereo vision obstacle detection for automotive safety application, In Proc. of the 7th IFAC Symposium on Intelligent Autonomous Vehicles (IAV). 2010.
