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]


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.

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]


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]


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.

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.


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.