Publications
Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.
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2014. Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
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2016. Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception .
PosterECVP.pdf (16.48 MB)
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2015. 
Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting.
VSS_supporting_page.pdf (901.01 KB)
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2017. 
The impact of ‘crispening’ upon the perceived contrast of textures. The Optical Society of America.
OSA2015_Poster.pdf (710.24 KB)
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2015. 
Investigating the Effect of Lateral Inhibition in the Retinal Circuitry on Lightness Contrast and Assimilation: A Model Study. Vision Sciences Society Annual Meeting.
VSS15_poster.pdf (1.92 MB)
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2015. 
A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting.
vss2014.pdf (2.95 MB)
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2014. 
Natural Images Statistics as Function of Dynamic Range. Vision Sciences Society Annual Meeting.
Abstract.pdf (6.42 MB)
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2017. 
The Perceived Quality of Undistorted Natural Images. Vision Sciences Society Annual Meeting.
PosterVSS.pdf (4.81 MB)
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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.
OSA14_poster.pdf (1.5 MB)
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2014. 
Retinal Processing Optimizes Contrast Coding. Vision Sciences Society Annual Meeting.
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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).
poster_ECVP.pdf (2.95 MB)
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2017. 
When Does Surface Appearance Become Scale-Variant? Vision Sciences Society Annual Meeting.
Jihyun_YeonanKim_VSS2017.pdf (71.39 KB)
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2017. 
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.
VSS_2017_M.pdf (384.41 KB)
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2017. 
Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models. SMPTE Annual Technical Conference & Exhibition.
GMA_KernelConvolution.pdf (1.15 MB)
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2017. 
Automatic, Viewing-condition Dependent Contrast Grading Based on Perceptual Models. Society of Motion Picture & Television Engineers Annual Technical Conference & Exhibition.
ToneMapping_smpte16.pdf (739.66 KB)
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2016. 
Color matching for stereoscopic cinema. Proceedings of Mirage 2013, 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. Berlin.
paper.pdf (7.52 MB)
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2013. 
Color-matching Shots from Different Cameras Having Unknown Gamma or Logarithmic Encoding Curves. SMPTE Annual Technical Conference & Exhibition.
SMPTE2017_GilRaquel.pdf (1.24 MB)
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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).
geometricModelPerception.pdf (13.46 MB)
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2019. 
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.
BertalmioRetinex50_EI2016.pdf (152.17 KB)
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2016. 
Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference.
CIC2014.pdf (3.44 MB)
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2014. 
Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).
CNNillusions.pdf (4.05 MB)
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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).
ContrastPerception.pdf (669.04 KB)
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2019. 
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)
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2014. .
2012. 