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Sabine Süsstrunk

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Publications associées (188)

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

Sabine Süsstrunk, Neda Salamati, Zahra Sadeghipoor Kermani

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

Games with Hypotheses: Color, Text and Texture

Sabine Süsstrunk

An online memory matching game is used to explore the collective performance for stimulus sets varying in color, text and texture. The game is a consistent five wide by four high array of 70 by 70 pixels squares for a total of eleven unique test pairs. Use ...

IS&T2012

A New In-Camera Imaging Model for Color Computer Vision and its Application

Sabine Süsstrunk, Matthew Brown, Seungryong Kim

We present a study of the in-camera image processing through an extensive analysis of more than 10,000 images from over 30 cameras. The goal of this work is to investigate if image values can be transformed to physically meaningful values, and if so, when ...

Institute of Electrical and Electronics Engineers2012

SLIC Superpixels Compared to State-of-the-art Superpixel Methods

Pascal Fua, Sabine Süsstrunk, Kevin Smith, Radhakrishna Achanta, Aurélien Lucchi, Appu Shaji

Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically c ...

Institute of Electrical and Electronics Engineers2012

A Large-Scale Multi-Lingual Color Thesaurus

Sabine Süsstrunk, Albrecht Johannes Lindner, Bryan Zhi Li

We present a color thesaurus with over 9000 color names in ten different languages. Instead of using conventional psychophysical experiments, we use a statistical framework that is based on search results from Google Image Search. For each color name we co ...

2012

What is the color of chocolate? - extracting color values of semantic expressions

Sabine Süsstrunk, Albrecht Johannes Lindner

We present a statistical framework to automatically determine an associated color for a given arbitrary semantic expression. The expression can not only be a color name but any word or character string. In addition to the color value, we are also able to c ...

2012

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

Semantic-Driven Selection of Printer Color Rendering Intents

Sabine Süsstrunk, Albrecht Johannes Lindner

In this paper we introduce a unified framework that automatically selects the optimal color rendering intent for a given print job. We first present how we extract information from both the image features and the semantic information contained in keywords ...

2012

Spectral Sharpening by Spherical Sampling

Sabine Süsstrunk

There are many works in colour that assume illumination change can be modelled by multiplying sensor responses by individual scaling factors. The early research in this area are sometimes grouped under the heading von Kries adaptation: the scaling factors ...

2012

An Efficient Demosaicing Technique using Geometrical Information

Sabine Süsstrunk

Color image sensors use color filter arrays (CFA) to capture information at each sensor pixel position and require color demosaicing to reconstruct full color images. The quality of the demosaicked image is hindered by the sensor characteristics during the ...

2012

Image sensor having nonlinear response

Martin Vetterli, Luciano Sbaiz, Sabine Süsstrunk, Edoardo Charbon

In previously known imaging devices as in still and motion cameras, for example, image sensor signal response typically is linear as a function of intensity of incident light. Desirably, however, akin to the response of the human eye, response is sought to ...

2011

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

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

Pascal Fua, Sabine Süsstrunk, Matthew Brown

In this paper we derive convolutional filters for colour image whitening and decorrelation. Whilst whitening can be achieved via eigendecomposition of the image patch covariance, this operation is neither efficient nor biologically plausible. Given the shi ...

2011

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

Multispectral Interest Points for RGB-NIR Image Registration

Sabine Süsstrunk, Damien Firmenich, Matthew Brown

This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of ...

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

Revisiting Radiometric Calibration for Color Computer Vision

Sabine Süsstrunk, Matthew Brown, Seungryong Kim

We present a study of radiometric calibration and the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if image values can be transformed to physically meaningful values and ...

2011

Correlation-based Joint Acquisition and Demosaicing of Visible and Near-Infrared Images

Sabine Süsstrunk, Yue Lu, Zahra Sadeghipoor Kermani

Joint processing of visible (RGB) and near-infrared (NIR) images has recently found some appealing applications, which make joint capturing a pair of visible and NIR images an important problem. In this paper, we propose a new method to design color filter ...

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

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, Neda Salamati, Zahra Sadeghipoor Kermani

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

Saliency Detection using Maximum Symmetric Surround

Sabine Süsstrunk, Radhakrishna Achanta

Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient maps that retain well-defined boundaries have attracted attention. In these map ...

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

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