The field of computational photography, and in particular the design and implementation of coded apertures, has yielded impressive results in the last years. In this paper we introduce perceptually optimized coded apertures for defocused deblurring. We obtain near-optimal apertures by means of optimization, with a novel evaluation function that includes two existing image quality perceptual metrics. These metrics favour results where errors in the final deblurred images will not be perceived by a human observer. Our work improves the results obtained with a similar approach that only takes into account the L2 metric in the evaluation function.




@article{Masia12_cgf, author = {Masia, Belen and Presa, Lara and Corrales, Adrian and Gutierrez, Diego}, title = {Perceptually-Optimized Coded Apertures for Defocus Deblurring}, journal = {Computer Graphics Forum}, year = {2012}, volume = {31}, number = {6} }
@inproceedings{Masia11_siacg, author = {Masia, Belen and Corrales, Adrian and Presa, Lara and Gutierrez, Diego}, title = {Coded Apertures for Defocus Deblurring}, booktitle = {SIACG}, year = {2011}, location = {Algarve, Portugal} }
@inproceedings{Garcia12_ceig, author = {Garcia, Luis and Presa, Lara and Gutierrez, Diego and Masia, Belen}, title = {Analysis of Coded Apertures for Defocus Deblurring of HDR Images}, booktitle = {CEIG}, year = {2012}, location = {Jaen, Spain} }