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Sabine Süsstrunk

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Related publications (188)

Mobile Cosmetics Advisor: An Imaging Based Mobile Service

Selecting cosmetics requires visual information and often benefits from the assessments of a cosmetics expert. In this paper we present a unique mobile imaging application that enables women to use their cell phones to get immediate expert advice when sele ...

2010

GUI-Aided NIR and Color Image Blending

Sabine Süsstrunk, Andrea Guidi, Radhakrishna Achanta

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 ...

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Automatic grouping of semantic keywords to improve image rendering

Sabine Süsstrunk, Mehmet Candemir, Albrecht Johannes Lindner

The ultimate goal of automatic image rendering is a system that gives at least as pleasing results as a human expert using an image manipulation program. In this article we demonstrate that the exploitation of semantic image keywords is a promising approac ...

2010

Automatic Skin Enhancement with Visible and Near-Infrared Image Fusion

Daniel Tamburrino, Sabine Süsstrunk

Skin tones, portraits in particular, are of critical importance in photography and video, but a number of factors, such as pigmentation irregularities (e.g., moles, freckles), irritation, roughness, or wrinkles can reduce their appeal. Moreover, such “defe ...

2010

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

Image Summaries using Database Saliency

Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, Appu Shaji

It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend th ...

2009

Image Reconstruction in the Gigavision Camera

Martin Vetterli, Luciano Sbaiz, Sabine Süsstrunk, Edoardo Charbon, Feng Yang

Recently we have proposed a new image device called the gigavision camera. The main feature of this camera is that the pixels have a binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which ma ...

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

Face Image Enhancement Using 3D and Spectral Information

Sabine Süsstrunk, Charles Dubout

This paper presents a novel method of enhancing image quality of face pictures using 3D and spectral information. Most conventional techniques directly work on the image data, shifting the skin color to a predefined skin tone, and so do not take into accou ...

2009

Frequency-tuned Salient Region Detection

Sabine Süsstrunk, Radhakrishna Achanta, Francisco Estrada

Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper, we introduce a method for salient region detection that outputs full resolution saliency maps with ...

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

Memory colour segmentation and classification using class-specific eigenregions

Sabine Süsstrunk, Francisco Estrada

Memory colours refer to the colour of specific image regions that have the essential attribute of being perceived in a consistent manner by human observers. In colour correction-or rendering-tasks, this consistency implies that they have to be faithfully r ...

2009

Saliency Detection for Content-aware Image Resizing

Sabine Süsstrunk, Radhakrishna Achanta

Content aware image re-targeting methods aim to arbitrarily change image aspect ratios while preserving visually prominent features. To determine visual importance of pixels, existing re-targeting schemes mostly rely on grayscale intensity gradient maps. T ...

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

A Home Décor expert in your camera

Joanna Marguier, Sabine Süsstrunk

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

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

Appearance-based Keypoint Clustering

Pascal Fua, Sabine Süsstrunk, Vincent Lepetit, Francisco Estrada

We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that be ...

2009

The Gigavision Camera

Martin Vetterli, Luciano Sbaiz, Sabine Süsstrunk, Edoardo Charbon, Feng Yang

We propose a new image device called gigavision camera. The main differences between a conventional and a gigavision camera are that the pixels of the gigavision camera are binary and orders of magnitude smaller. A gigavision camera can be built using stan ...

2009

Digital Camera Workflow for High Dynamic Range Images Using a Model of Retinal Processing

Laurence Meylan, Daniel Tamburrino, Sabine Süsstrunk

We propose a complete digital camera workflow to capture and render high dynamic range (HDR) static scenes, from RAW sensor data to an output- referred encoded image. In traditional digital camera processing, demosaicing is one of the first operations done ...

2008

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