Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.. 2014.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception .. 2015.
Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting.. 2017.
The impact of ‘crispening’ upon the perceived contrast of textures. The Optical Society of America.. 2015.
Investigating the Effect of Lateral Inhibition in the Retinal Circuitry on Lightness Contrast and Assimilation: A Model Study. Vision Sciences Society Annual Meeting.. 2015.
A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting.. 2014.
Natural Images Statistics as Function of Dynamic Range. Vision Sciences Society Annual Meeting.. 2017.
The Perceived Quality of Undistorted Natural Images. Vision Sciences Society Annual Meeting.. 2014.
The potential effect of the electrical coupling among horizontal cells on enhancing local contrast signals in the parasol retinal pathway. The Optical Society of America.. 2014.
Retinal Processing Optimizes Contrast Coding. Vision Sciences Society Annual Meeting.. 2016.
Scale invariance does not hold for high dynamic range images, but is reestablished by early retinal nonlinearities. The European Conference on Visual Perception (ECVP).. 2017.
When Does Surface Appearance Become Scale-Variant? Vision Sciences Society Annual Meeting.. 2017.
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.. 2017.
Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models. SMPTE Annual Technical Conference & Exhibition.. 2017.
Automatic, Viewing-condition Dependent Contrast Grading Based on Perceptual Models. Society of Motion Picture & Television Engineers Annual Technical Conference & Exhibition.. 2016.
Color matching for stereoscopic cinema. Proceedings of Mirage 2013, 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. Berlin.. 2013.
Color matching images with unknown non-linear encodings. IEEE Transactions on Image Processing.. 2015.
Color-matching Shots from Different Cameras Having Unknown Gamma or Logarithmic Encoding Curves. SMPTE Annual Technical Conference & Exhibition.. 2017.
A connection between image processing and artificial neural networks layers through a geometric model of visual perception. Scale Space and Variational Methods in Computer Vision (SSVM2019).. 2019.
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.. 2016.
Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference.. 2014.
Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2019.
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. Scale Space and Variational Methods in Computer Vision (SSVM2019).. 2019.
Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*.. 2014.