Personne

Neda Salamati

Cette personne n’est plus à l’EPFL

Incorporating Near-Infrared into Scene Understanding

Recent progress in computational photography has shown that we can acquire near-infrared (NIR) information in addition to the normal visible (RGB) information with only slight modification to the standard digital camera. In this thesis, we study if this ex ...

EPFL2013

Compression of Multispectral Images: Color (RGB) plus Near-Infrared (NIR)

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Neda Salamati

We propose a compression framework for four-channel images, composed of color (RGB) and near-infrared (NIR) channels, which exploits the correlation between the visible and the NIR information. The high-frequency components of both visible and NIR scene re ...

Ieee2012

Semantic Image Segmentation Using Visible and Near-Infrared Channels

Sabine Süsstrunk, Neda Salamati

Recent progress in computational photography has shown that we can acquire physical information beyond visible (RGB) image representations. In particular, we can acquire near-infrared (NIR) cues with only slight modification to any standard digital camera. ...

Springer Berlin Heidelberg2012

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

Removing Shadows from Images Using Color and Near-infrared

Sabine Süsstrunk, Neda Salamati, Arthur Germain

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies ...

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

Analyzing Near-infrared Images for Utility Assessment

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Neda Salamati

Visual cognition is of significant importance in certain imaging applications, such as security and surveillance. In these applications, an important issue is to determine the cognition threshold, which is the maximum distortion level that can be applied t ...

SPIE-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Material-Based Object Segmentation Using Near-Infrared Information

Sabine Süsstrunk, Neda Salamati

We present a framework to incorporate near-infrared (NIR) information into algorithms to better segment objects by isolating material boundaries from color and shadow edges. Most segmentation algorithms assign individual regions to parts of the object that ...

2010

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