Piotr Didyk, Rafał Mantiuk, Matthias Hein and Hans-Peter Seidel. Enhancement of Bright Video Features for HDR Displays. To appear in: Computer Graphics Forum (Proc. of EGSR'08) 2008.
Akiko Yoshida, Matthias Ihrke, Rafał Mantiuk, Hans-Peter Seidel. Brightness of Glare Illusion. To appear in: Proc. of Symposium on Applied Perception in Graphics and Visualization (APGV08). 2008.
Tunç O. Aydın, Rafał Mantiuk and Hans-Peter Seidel. Extending quality metrics to full luminance range images. In: Proc. Human Vision and Electronic Imaging XIII, vol. 6806
Kil Joong Kim, Bohyoung Kim, Kyoung Ho Lee, Tae Jung Kim, Rafał Mantiuk, Heung-Sik Kang, Young Hoon Kim. Regional Difference in Compression Artifacts in Low-Dose Chest CT Images: Effects of Mathematical and Perceptual Factors. In: American Journal of Roentgenology, 191:W30-W37, 2008.
Bohyoung Kim, Kyoung Ho Lee, Kil Joong Kim, Rafał Mantiuk, Hye-ri Kim, and Young Hoon Kim. Artifacts in Slab Average Intensity Projection Images Reformatted from JPEG2000 Compressed Thin-section Abdomen CT Datasets. In: American Journal of Roentgenology, 190:W342-W350, 2008.
Bohyoung Kim, Kyoung Ho Lee, Kil Joong Kim, Rafał Mantiuk, Vasundhara Bajpai, Tae Jung Kim, Young Hoon Kim, Chang Jin Yoon, and Seokyung Hahn. Prediction of Perceptible Artifacts in JPEG2000 Compressed Abdomen CT Images using a Perceptual Image Quality Metric. Academic Radiology, in press.
Kim Bohyoung, Kyoung Ho Lee, Kim Joong Kil, Rafał Mantiuk,
Hahn Seokyung, Jung Kim Tae and Kim Young Hoon. Prediction of
Perceptible Artifacts in JPEG2000 Compressed Chest CT Images using
Mathematical and Perceptual Quality Metrics. American Journal of
Roentgenology, will appear in Feb. 2008, Vol. 190, Issue 2
--- 2007 ---
Grzegorz Krawczyk, Rafał Mantiuk, Dorota Zdrojewska and Hans-Peter Seidel. Brightness Adjustment for HDR and Tone Mapped Images. In: Proc. of 15th Pacific Conference on Computer Graphics and Applications 2007, pp. 373--381.
High Dynamic Range Image and Video Compression
Commonly used image and video formats encode visual information
using 8-bit per color channel. Such representation, although suitable
for typical LCD or CRT monitors, is unsufficient for next generation
of high-dynamic range displays. To overcome the limitations of the
existing image encoding formats, we extended existing formats to
efficiently encode all visual information that the human eye can see:
luminance levels from star light to sun light and complete color
gamut. [details...]
Visible Difference Metric for High Dynamic Range Images
Visual difference metrics can predict whether differences between two
images are visible to the human observer or not. Such metrics are used
for testing either visibility of information (whether we can see
important visual information) or visibility of noise (to make sure we
do not see any distortions in images, e.g. due to lossy
compression). We introduce a High Dynamic Range Visible Difference
Predictor, which can work within the complete range of luminance the
human eye can see and therefore, unlike the other visible difference
metrics, can be used for the full range of lighting conditions that
can be met in real-word situations. [details...]
Contrast Domain High Dynamic Range Image Processing
Since the human eye is the most sensitive for either spatial or
temporal changes, we propose a framework for image operations on
spatial contrast, rather than on an absolute pixel values. Such
approach gives better control over the visibility of the changes
introduced by image processing operations. The proposed framework is
especially suitable for a detail-preserving compression of contrast in
HDR images. [details...] (updated March 2006)
pfstools for Processing HDR Images and Video
pfstools package is a set of command line programs for reading,
writing, manipulating and viewing high-dynamic range (HDR) images and
video frames. pfstools is an Open Source project licensed under
the GPL. Most of the HDR software developed in our group is based on this
package. [details...]
September 2003 - December 2006
Ph.D. in Computer Science at the Max-Planck-Institut für Informatik
Thesis: High-Fidelity Imaging - The Computational Models of the Human Visual System in High Dynamic Range Video Video Compression, Visible Difference Prediction and Image Processing
Advisor: Karol Myszkowski
