Publications
] .
2016. Optimized Tone Curve for In-Camera Image Processing. IS&T Electronic Imaging Conference. 
EI16_tmo.pdf (9.55 MB)
EI16_tmo.pdf (9.55 MB).
2020. Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies. Multimedia Tools and Applications. VisionModelsHDR.pdf (2.64 MB)
VisionModelsHDR.pdf (2.64 MB).
2015. A Tone Mapping Operator Based on Neural and Psychophysical Models of Visual Perception. Proc. SPIE Human Vision and Electronic Imaging XX. ToneMappingSPIE.pdf (3.59 MB)
ToneMappingSPIE.pdf (3.59 MB).
2015. Perceptual Dynamic Range for In-Camera Image Processing. British Machine Vision Conference (BMVC). tonemapping_bmvc.pdf (4.59 MB)
tonemapping_bmvc.pdf (4.59 MB).
2013. A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico. TM_PSIVT2013.pdf (5.87 MB)
TM_PSIVT2013.pdf (5.87 MB).
2015. Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS). VariationalDehazing_EVID_final_LR.pdf (15.17 MB)
VariationalDehazing_EVID_final_LR.pdf (15.17 MB).
2014. A variational Framework for Single Image Dehazing. European Conference on Computer Vision Workshops . Galdranetaleccvw.pdf (9.65 MB)
Galdranetaleccvw.pdf (9.65 MB).
2018. On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR). ImageDehazing.pdf (4.3 MB)
ImageDehazing.pdf (4.3 MB).
2016. Local Denoising Based on Curvature Smoothing can Visually Outperform Non-local Methods on Photographs with Actual Noise. IEEE International Conference on Image Processing. DenoisingICIP2016.pdf (1.9 MB)
DenoisingICIP2016.pdf (1.9 MB).
2014. Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*. icisp00.pdf (6.88 MB)
icisp00.pdf (6.88 MB).
2015. A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing. DenoisingTIP.pdf (10.26 MB)
DenoisingTIP.pdf (10.26 MB).
2016. Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. IS&T Electronic Imaging Conference. DenoisingEI2016.pdf (2.09 MB)
DenoisingEI2016.pdf (2.09 MB).
2020. Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. Vision Research. visualIllusions.pdf (3.73 MB)
visualIllusions.pdf (3.73 MB).
2020. Visual information flow in Wilson-Cowan networks. Journal of Neurophysiology. VisualInformation.pdf (3.12 MB)
VisualInformation.pdf (3.12 MB).
2019. Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR). CNNillusions.pdf (4.05 MB)
CNNillusions.pdf (4.05 MB).
2017. Natural Images Statistics as Function of Dynamic Range. Vision Sciences Society Annual Meeting. Abstract.pdf (6.42 MB)
Abstract.pdf (6.42 MB).
2019. Statistics of natural images as a function of dynamic range. *Accepted* in Journal of Vision. StatisticsNaturalImages.pdf (2.76 MB)
StatisticsNaturalImages.pdf (2.76 MB).
2017. Scale invariance does not hold for high dynamic range images, but is reestablished by early retinal nonlinearities. The European Conference on Visual Perception (ECVP). poster_ECVP.pdf (2.95 MB)
poster_ECVP.pdf (2.95 MB).
2015. Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception . PosterECVP.pdf (16.48 MB)
PosterECVP.pdf (16.48 MB).
2015. System gamma as a function of image- and monitor- dynamic range. Journal of Vision. JOV.pdf (1.86 MB)
JOV.pdf (1.86 MB).
2019. A re-evaluation of Whittle (1986, 1992) reveals the link between detection thresholds, discrimination thresholds and brightness perception. *Accepted* in Journal of Vision. evaluationWhittle.pdf (4.05 MB)
evaluationWhittle.pdf (4.05 MB).
2015. The impact of ‘crispening’ upon the perceived contrast of textures. The Optical Society of America. OSA2015_Poster.pdf (710.24 KB)
OSA2015_Poster.pdf (710.24 KB).
2015. Is There A Preference For Linearity When Viewing Natural Images? SPIE/IS&T Electronic Imaging Conference. IsThereAPreferenceForLinearityWhenViewingNaturalScenes.pdf (2.2 MB)
IsThereAPreferenceForLinearityWhenViewingNaturalScenes.pdf (2.2 MB).
2016. The influence of lightness, and the crispening effect on the per- ceived contrast of textured images. IS&T Electronic Imaging Conference. EI2016_LightnessAndCrispening.pdf (1.41 MB)
EI2016_LightnessAndCrispening.pdf (1.41 MB).
2017. Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting. VSS_supporting_page.pdf (901.01 KB)
VSS_supporting_page.pdf (901.01 KB)