Highlights occur especially when recording medical (color) images during micro-invasive operations. They disturb the physicians who can sometimes only guess the tissue at the position of the highlights. In this contribution we present a new technique of highlight removal. A so-called light field is generated from the recorded image sequence. Then a bi-nary highlight mask is computed for each image and used as confidence map for the light field pixels. The result is a light field in which pixels at highlight positions are interpo-lated by pixels which were not over-imposed by highlights. This leads to light fields with better images. We demon-strate and evaluate the technique on medical and synthetic image sequences. 1
In this paper, we present a new application of the mathematical morphology: a single-image approach...
<p>(A) Low contrast bright field image. (B) Fluorescence staining for whole cell and bright spot det...
We present a novel method to reduce the effect of spec-ularities in digital images. Our approach rel...
In this contribution we present a new technique of high-light substitution. From a color image seque...
This is the dataset for paper: <a></a><a>Light Field Imaging Based Accurate Image Specular Highlight...
We present a single-image highlight removal method that incorporates illumination-based constraints ...
In structured light 3D measurement field,when the object is smooth surface,it can form a highlight a...
This paper proposes an optimization-based method to remove highlights from specular surfaces without...
[EN] In certain cell types substances called Chromophores are found. These substances are responsibl...
Light fields and Lumigraphs are capable of rendering scenes of arbitrary geometrical or illumination...
© 2013 IEEE. The presence of specular highlight is a critical issue for both natural and medical ima...
We present a novel method to reduce the effect of specularities in digital images. Our approach reli...
Highlight removal is a fundamental and challenging task that has been an active field for decades. A...
In this paper, we propose a novel contrast enhancement algorithm for low light level images, which p...
Light Field, or Plenoptic, imaging is an exciting new technique where a user can capture 3-D informa...
In this paper, we present a new application of the mathematical morphology: a single-image approach...
<p>(A) Low contrast bright field image. (B) Fluorescence staining for whole cell and bright spot det...
We present a novel method to reduce the effect of spec-ularities in digital images. Our approach rel...
In this contribution we present a new technique of high-light substitution. From a color image seque...
This is the dataset for paper: <a></a><a>Light Field Imaging Based Accurate Image Specular Highlight...
We present a single-image highlight removal method that incorporates illumination-based constraints ...
In structured light 3D measurement field,when the object is smooth surface,it can form a highlight a...
This paper proposes an optimization-based method to remove highlights from specular surfaces without...
[EN] In certain cell types substances called Chromophores are found. These substances are responsibl...
Light fields and Lumigraphs are capable of rendering scenes of arbitrary geometrical or illumination...
© 2013 IEEE. The presence of specular highlight is a critical issue for both natural and medical ima...
We present a novel method to reduce the effect of specularities in digital images. Our approach reli...
Highlight removal is a fundamental and challenging task that has been an active field for decades. A...
In this paper, we propose a novel contrast enhancement algorithm for low light level images, which p...
Light Field, or Plenoptic, imaging is an exciting new technique where a user can capture 3-D informa...
In this paper, we present a new application of the mathematical morphology: a single-image approach...
<p>(A) Low contrast bright field image. (B) Fluorescence staining for whole cell and bright spot det...
We present a novel method to reduce the effect of spec-ularities in digital images. Our approach rel...