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NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

Related publications (34)

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GUI-Aided NIR and Color Image Blending

Sabine Süsstrunk, Radhakrishna Achanta, Andrea Guidi

A near-infrared (NIR) image of a scene contains different information than the corresponding visible spectrum (RGB) image, due to physical phenomena related to scattering, absorption, and reflectance of the different radiation bands. It can be desirable to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Automatic and accurate shadow detection from (potentially) a single image using near-infrared information

Sabine Süsstrunk

Shadows, due to their prevalence in natural images, are a long studied phenomenon in digital photography and computer vision. Indeed, their presence can be a hindrance for a number of algorithms; accurate detection (and sometimes subsequent removal) of sha ...

EPFL Tech Report 1655272010

Exploiting redundancy in color images

Joanna Marguier

The colors in a digital image do not only depend on the scene's reflectances, but also on the lighting conditions and on the characteristics of the imaging device. It is often necessary to separate the influence of these three elements, in particular to se ...

EPFL2010

Enhancing the Visible with the Invisible: Exploiting Near-Infrared to Advance Computational Photography and Computer Vision

Sabine Süsstrunk

Silicon-based digital camera sensors exhibit significant sensitivity beyond the visible spectrum (400-700nm). They are able to capture wavelengths up to 1100 nm, i.e., they are sensitive to near-infrared (NIR) radiation. This additional information is conv ...

SID2010

Hyper-DEMIX: Blind Source Separation of Hyperspectral Images Using Local ML Estimates

We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, only one material is present. Such regions provide a local estimate of the en ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Dynamic Texture Synthesis: Compact Models Based on Luminance -Chrominance Color Representation

Sabine Süsstrunk, Luciano Sbaiz, Roberto Costantini

Dynamic textures are sequences of images showing temporal regularity. Examples can be found in videos representing smoke, flames, ocean waves, wind-shaken forests, etc. Dynamic texture modelling and synthesis has usually been done considering RGB color ima ...

2006

The Influence of Luminance on Local Tone Mapping

Sabine Süsstrunk, Laurence Meylan

We study the influence of the choice of color space for local tone mapping methods. Many local tone mapping methods do not perform well when applied independently to the three color channels of an RGB image. A common solution is to only treat the luminance ...

2005

White-Point Independant RGB Primaries for Color Image Encoding

Sabine Süsstrunk

We present a method to calculate sets of RGB primaries that are white-point independent and have suitable gamut properties when evaluated with regards to surface colors. These primaries can be used as a basis for defining an output-referred color encoding ...

2002

Cast Shadow Recognition in Color Images

Touradj Ebrahimi, Elena Salvador

Shadows are often integral parts of natural scenes and their identification is an important task in image analysis. In this paper, we propose an algorithm for recognition of shadows cast by objects on the scene's background. The proposed approach is based ...

EUSIPCO2002

Chromatic adaptation performance of different RGB sensors

Sabine Süsstrunk

Chromatic adaptation transforms are used in imaging system to map image appearance to colorimetry under different illumination sources. In this paper, the performance of different chromatic adaptation transforms (CAT) is compared with the performance of tr ...

2001