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MULTISCALE GUIDED DEBLURRING: CHROMATIC ABERRATION CORRECTION IN COLOR AND NEAR-INFRARED IMAGING

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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

Review of Light-weight Payloads for MAVs and Experiments with Thermopiles

Adrien Briod

This report investigates different payloads that could fit a small hovering indoor flying robot. First a review of useful equipment satisfying the strong weight constraint is realized, then work on a particular piece of equipment (thermal imaging sensors) ...

2010

Small-size microlens characterization by multiwavelength high-resolution interference microscopy

Hans Peter Herzig, Toralf Scharf, Myun Sik Kim

Microlenses are widely studied in two main areas: fabrication and characterization. Nowadays, characterization draws more attention because it is difficult to apply test techniques to microlenses that are used for conventional optical systems. Especially, ...

Optical Society of America2010

Material Classification Using Color and NIR Images

Sabine Süsstrunk, Neda Salamati

Material classification is becoming more important in computer vision and digital photography applications, which require accurate classification of objects present in the imaged scene. This is a very challenging task because the sheer diversity of scene c ...

2009

Designing color filter arrays for the joint capture of visible and near-infrared images

Martin Vetterli, Sabine Süsstrunk, Yue Lu

Digital camera sensors are inherently sensitive to the near-infrared (NIR) part of the light spectrum. In this paper, we propose a general design for color filter arrays that allow the joint capture of visible/NIR images using a single sensor. We pose the ...

2009

Color Image Dehazing using the Near-Infrared

Sabine Süsstrunk, Lex Schaul

In landscape photography, distant objects often appear blurred with a blue color cast, a degradation caused by atmospheric haze. To enhance image contrast, pleasantness and information content, dehazing can be performed. We propose that fusing a visible an ...

2009

Illuminant estimation and detection using near infrared

Sabine Süsstrunk

Digital camera sensors are sensitive to wavelengths ranging from the ultraviolet (200-400nm) to the near-infrared (700-100nm) bands. This range is, however, reduced because the aim of photographic cameras is to capture and reproduce the visible spectrum (4 ...

2009

A Home Décor expert in your camera

Sabine Süsstrunk, Joanna Marguier

We present a method to give color advice for Home Décor using images of room finishes, such as paint, flooring, or textiles, taken with uncalibrated cameras. Due to variations in color rendering across devices, an object imaged with different cameras will ...

2009

2PFC™ Image Sensors: Better Image Quality at Lower Cost

Daniel Tamburrino

A modification to the standard Bayer CFA and photodiode structure for CMOS image sensors is proposed, which we call 2PFC™, meaning “Two Pixel, Full Color”. The blue and red filters of the Bayer pattern are replaced by magenta filters. Under each magenta fi ...

2009

Combining visible and near-infrared images for realistic skin smoothing

Sabine Süsstrunk, Nathalie Barbuscia

Skin tone images, portraits in particular, are of tremendous importance in digital photography, but a number of factors, such as pigmentation irregularities (e.g., moles, freckles), irritation, roughness, or wrinkles can reduce their appeal. Moreover, such ...

2009