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Compressive Acquisition of Color and Near-Infrared Images

Related publications (62)

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Snap-shot profilometry with the empirical mode decomposition and a 3-layer color sensor

Pierre Jacquot, Sébastien Equis, Raik Schnabel

Remote sensing finds more and more applications, from industrial control, to face recognition, not forgetting terrain surveying. This trend is well exemplified by fringe projection techniques, which enjoyed a considerable development in the recent years. I ...

Optical Society of America2011

Evaluation of a Hyperspectral Image Database for Demosaicking Purposes

Sabine Süsstrunk

We present a study on the the applicability of hyperspectral images to evaluate color filter array (CFA) design and the performance of demosaicking algorithms. The aim is to simulate a typical digital still camera processing pipe-line and to compare two di ...

SPIE2011

Multispectral SIFT for Scene Category Recognition

Sabine Süsstrunk, Matthew Brown

We use a simple modification to a conventional SLR camera to capture images of several hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near-infrared information leads to significantly improved performance in a scene-rec ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Combining Visible and Near-Infrared Cues for Image Categorisation

Neda Salamati

Standard digital cameras are sensitive to radiation in the near-infrared domain, but this additional cue is in general discarded. In this paper, we consider the scene categorisation problem in the context of images where both standard visible RGB channels ...

2011

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

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

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

2PFC (Two Pixels, Full Color): Image Sensor Demosaicing and Characterization

Daniel Tamburrino

We propose a modification to the standard Bayer CFA and photodiode structure for CMOS image sensors, which we call 2PFC (Two Pixels, Full Color). The blue and red filters of the Bayer pattern are replaced by a magenta filter. Under each magenta filter are ...

2010

Cell Phones as Imaging Sensors

Sabine Süsstrunk, Joanna Marguier, Jérôme Berclaz

Camera phones are ubiquitous, and consumers have been adopting them faster than any other technology in modern history. When connected to a network, though, they are capable of more than just picture taking: Suddenly, they gain access to the power of the c ...

SPIE2010