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Dietmar Saupe
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Publications
- 2025
- [j49]Dietmar Saupe, Simon Hviid Del Pin:
Uncovering Cultural Influences on Perceptual Image and Video Quality Assessment through Adaptive Quantized Metric Models. J. Percept. Imaging 8(0): 1-13 (2025) - [c95]Michela Testolina, Mohsen Jenadeleh
, Shima Mohammadi, Shaolin Su, João Ascenso, Touradj Ebrahimi, Jon Sneyers, Dietmar Saupe:
Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images. DCC 2025: 123-132 - [i30]Vlad Hosu, Lorenzo Agnolucci, Daisuke Iso, Dietmar Saupe:
Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution. CoRR abs/2502.06476 (2025) - [i29]Mohsen Jenadeleh
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression. CoRR abs/2504.06301 (2025) - [i28]Mohsen Jenadeleh, Jon Sneyers, Davi Lazzarotto, Shima Mohammadi, Dominik Keller, Atanas Boev, Rakesh Rao Ramachandra Rao, António M. G. Pinheiro, Thomas Richter, Alexander Raake, Touradj Ebrahimi, João Ascenso, Dietmar Saupe:
Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity. CoRR abs/2506.12505 (2025) - [i27]Chunling Fan, Yun Zhang, Dietmar Saupe, Raouf Hamzaoui, Weisi Lin:
PC-JND: Subjective Study and Dataset on Just Noticeable Difference for Point Clouds in 6DoF Virtual Reality. CoRR abs/2507.21557 (2025) - [i26]Shima Mohammadi, Mohsen Jenadeleh, Michela Testolina, Jon Sneyers, Touradj Ebrahimi, Dietmar Saupe, João Ascenso:
In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images. CoRR abs/2508.09777 (2025) - [i24]Shima Mohammadi, Mohsen Jenadeleh, Jon Sneyers, Dietmar Saupe, João Ascenso:
Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression. CoRR abs/2509.13150 (2025) - 2024
- [j48]Dietmar Saupe
Maximum Entropy and Quantized Metric Models for Absolute Category Ratings. IEEE Signal Process. Lett. 31: 2970-2974 (2024) - [j47]Mohsen Jenadeleh
Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video With the Flicker Test and QUEST+. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10135-10151 (2024) - [j46]Shaolin Su
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. 26: 2671-2685 (2024) - [c94]Vlad Hosu
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment. ECCV Workshops (9) 2024: 467-482 - [c93]Mohsen Jenadeleh
Impact of feedback on crowdsourced visual quality assessment with paired comparisons. QoMEX 2024: 125-131 - [c92]Dietmar Saupe, Simon Hviid Del Pin:
National differences in image quality assessment: An investigation on three large-scale IQA datasets. QoMEX 2024: 214-220 - [c91]Mohsen Jenadeleh
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX 2024: 278-281 - [i23]Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum entropy and quantized metric models for absolute category ratings. CoRR abs/2410.00817 (2024) - [i22]Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi, Shaolin Su, João Ascenso, Touradj Ebrahimi, Jon Sneyers, Dietmar Saupe:
Fine-grained subjective visual quality assessment for high-fidelity compressed images. CoRR abs/2410.09501 (2024) - 2023
- [j45]Xin Zhao, Jianxun Lou
CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access 11: 58025-58036 (2023) - [j44]Oliver Wiedemann
Konx: cross-resolution image quality assessment. Qual. User Exp. 8(1) (2023) - [c90]Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer, Ulf-Dietrich Reips
Relaxed forced choice improves performance of visual quality assessment methods. QoMEX 2023: 37-42 - [c89]Michela Testolina, Vlad Hosu, Mohsen Jenadeleh, Davi Lazzarotto, Dietmar Saupe, Touradj Ebrahimi
JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. QoMEX 2023: 55-60 - [c88]Guangan Chen, Hanhe Lin
Localization of Just Noticeable Difference for Image Compression. QoMEX 2023: 61-66 - [i21]Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Relaxed forced choice improves performance of visual quality assessment methods. CoRR abs/2305.00220 (2023) - [i20]Guangan Chen, Hanhe Lin
Localization of Just Noticeable Difference for Image Compression. CoRR abs/2306.07678 (2023) - 2022
- [j43]Jianxun Lou
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 494: 455-467 (2022) - [j42]Hanhe Lin
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5859-5873 (2022) - [c87]Hanhe Lin
Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. QoMEX 2022: 1-4 - [d1]Vlad Hosu
KonIQ-10k IQA Database. DaRUS, 2022 - [i19]Shaolin Su, Hanhe Lin
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR abs/2207.04904 (2022) - [i18]Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe:
KonX: Cross-Resolution Image Quality Assessment. CoRR abs/2212.05813 (2022) - 2021
- [j41]Franz Götz-Hahn
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access 9: 72139-72160 (2021) - [j40]Hui Men
Subjective Image Quality Assessment With Boosted Triplet Comparisons. IEEE Access 9: 138939-138975 (2021) - [c86]Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe:
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. BMVC 2021: 330 - [i17]Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe:
Subjective Image Quality Assessment with Boosted Triplet Comparisons. CoRR abs/2108.00201 (2021) - [i16]Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu:
TranSalNet: Visual saliency prediction using transformers. CoRR abs/2110.03593 (2021) - 2020
- [j39]Hanhe Lin
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. 5(1) (2020) - [j38]Hui Men
Subjective annotation for a frame interpolation benchmark using artefact amplification. Qual. User Exp. 5(1) (2020) - [j37]Mohsen Jenadeleh
Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition. Sensors 20(5): 1308 (2020) - [j36]Vlad Hosu
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. IEEE Trans. Image Process. 29: 4041-4056 (2020) - [c85]Oliver Wiedemann
Gaze Data for Quality Assessment of Foveated Video. ETRA Adjunct 2020: 35:1-35:2 - [c84]Xin Zhao, Hanhe Lin
Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. ICIP 2020: 156-160 - [c83]Hanhe Lin
Subjective Assessment of Global Picture-Wise Just Noticeable Difference. ICME Workshops 2020: 1-6 - [c82]Tanaya Guha, Vlad Hosu
ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. ACM Multimedia 2020: 4758-4760 - [c81]Hui Men, Vlad Hosu
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. QoMEX 2020: 1-6 - [c80]Oliver Wiedemann
Foveated Video Coding for Real-Time Streaming Applications. QoMEX 2020: 1-6 - [i15]Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR abs/2001.02002 (2020) - [i14]Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. CoRR abs/2001.06409 (2020) - [i13]Hanhe Lin, Vlad Hosu, Dietmar Saupe:
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. CoRR abs/2001.08113 (2020) - [i12]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". CoRR abs/2005.04400 (2020) - [i11]Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Critical analysis on the reproducibility of visual quality assessment using deep features. CoRR abs/2009.05369 (2020) - 2019
- [j35]Marc Spicker
Quantifying Visual Abstraction Quality for Computer-Generated Illustrations. ACM Trans. Appl. Percept. 16(1): 5:1-5:20 (2019) - [c79]Vlad Hosu
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. CVPR 2019: 9375-9383 - [c77]Chunling Fan, Hanhe Lin
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. QoMEX 2019: 1-6 - [c76]Hanhe Lin
KADID-10k: A Large-scale Artificially Distorted IQA Database. QoMEX 2019: 1-3 - [c75]Hui Men, Hanhe Lin
Visual Quality Assessment for Motion Compensated Frame Interpolation. QoMEX 2019: 1-6 - [i10]Hui Men, Hanhe Lin
Technical Report on Visual Quality Assessment for Frame Interpolation. CoRR abs/1901.05362 (2019) - [i9]Vlad Hosu, Bastian Goldlücke, Dietmar Saupe:
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features. CoRR abs/1904.01382 (2019) - [i8]Markus Wagner, Hanhe Lin
Algorithm Selection for Image Quality Assessment. CoRR abs/1908.06911 (2019) - [i7]Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe:
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. CoRR abs/1910.06180 (2019) - [i6]Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe:
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR abs/1912.07966 (2019) - 2018
- [c74]Mohsen Jenadeleh
Realtime Quality Assessment of Iris Biometrics Under Visible Light. CVPR Workshops 2018: 443-452 - [c73]Domonkos Varga, Dietmar Saupe, Tamás Szirányi
Deeprn: A Content Preserving Deep Architecture for Blind Image Quality Assessment. ICME 2018: 1-6 - [c72]Vlad Hosu
Expertise screening in crowdsourcing image quality. QoMEX 2018: 1-6 - [c71]Hui Men, Hanhe Lin
Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. QoMEX 2018: 1-3 - [c70]Oliver Wiedemann
Disregarding the Big Picture: Towards Local Image Quality Assessment. QoMEX 2018: 1-6 - [i5]Hanhe Lin, Vlad Hosu, Dietmar Saupe:
KonIQ-10k: Towards an ecologically valid and large-scale IQA database. CoRR abs/1803.08489 (2018) - 2017
- [c69]Marc Spicker
Quantifying visual abstraction quality for stipple drawings. NPAR@Expressive 2017: 8:1-8:10 - [c68]Vlad Hosu
The Konstanz natural video database (KoNViD-1k). QoMEX 2017: 1-6 - [c67]Hui Men, Hanhe Lin
Empirical evaluation of no-reference VQA methods on a natural video quality database. QoMEX 2017: 1-3 - 2016
- [c64]Vlad Hosu
Saliency-driven image coding improves overall perceived JPEG quality. PCS 2016: 1-5 - 2015
- [j29]Kongfeng Zhu, Chengqing Li
No-Reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis. IEEE Trans. Circuits Syst. Video Technol. 25(4): 533-546 (2015) - [c62]Ujwal Gadiraju, Sebastian Möller, Martin Nöllenburg
Crowdsourcing Versus the Laboratory: Towards Human-Centered Experiments Using the Crowd. Crowdsourcing and Human-Centered Experiments 2015: 6-26 - [c61]Sebastian Egger-Lampl, Judith Redi, Tobias Hoßfeld
Crowdsourcing Quality of Experience Experiments. Crowdsourcing and Human-Centered Experiments 2015: 154-190 - 2014
- [c58]Kongfeng Zhu, Marcus Barkowsky, Minmin Shen, Patrick Le Callet, Dietmar Saupe:
Optimizing feature pooling and prediction models of VQA algorithms. ICIP 2014: 541-545 - 2013
- [c57]Kongfeng Zhu, Keigo Hirakawa, Vijayan K. Asari, Dietmar Saupe:
A no-reference video quality assessment based on Laplacian pyramids. ICIP 2013: 49-53 - [c56]Kongfeng Zhu, Dietmar Saupe:
Performance evaluation of HD camcorders: measuring texture distortions using Gabor filters and spatio-velocity CSF. IQSP 2013: 86530A - 2012
- [c53]Kongfeng Zhu, Shujun Li
An objective method of measuring texture preservation for camcorder performance evaluation. IQSP 2012: 829304 - [i3]Shujun Li, Andreas Karrenbauer, Dietmar Saupe, C.-C. Jay Kuo:
Recovering Missing Coefficients in DCT-Transformed Images. CoRR abs/1209.1673 (2012) - 2011
- [c52]Shujun Li
Recovering missing coefficients in DCT-transformed images. ICIP 2011: 1537-1540 - [e9]Abraham Bernstein, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2010. LNI D-11, GI 2011, ISBN 978-3-88579-415-8 [contents] - 2010
- [j26]Mauro R. Ruggeri, Giuseppe Patanè
Spectral-Driven Isometry-Invariant Matching of 3D Shapes. Int. J. Comput. Vis. 89(2-3): 248-265 (2010) - [c51]Shujun Li
An improved DC recovery method from AC coefficients of DCT-transformed images. ICIP 2010: 2085-2088 - [e8]Abraham Bernstein, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2009. LNI D-10, GI 2010, ISBN 978-3-88579-414-1 [contents] - [e7]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2008. LNI D-9, GI 2010, ISBN 978-3-88579-413-4 [contents] - [i2]Shujun Li, Junaid Jameel Ahmad, Dietmar Saupe, C.-C. Jay Kuo:
An Improved DC Recovery Method from AC Coefficients of DCT-Transformed Images. CoRR abs/1002.1727 (2010) - 2008
- [c48]Mauro R. Ruggeri, Dietmar Saupe:
Isometry-invariant Matching of Point Set Surfaces. 3DOR@Eurographics 2008: 17-24 - [e6]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Harald Störrle, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2007. LNI D-8, GI 2008, ISBN 978-3-88579-412-7 [contents] - [e5]Oliver Deussen, Daniel A. Keim, Dietmar Saupe:
13th International Fall Workshop on Vision, Modeling, and Visualization, VMV 2008, Konstanz, Germany, October 8-10, 2008. Aka GmbH 2008, ISBN 978-3-89838-609-8 [contents] - 2007
- [j23]Dieter W. Fellner, Dietmar Saupe, Harald Krottmaier:
Guest Editors' Introduction: 3D Documents. IEEE Computer Graphics and Applications 27(4): 20-21 (2007) - [j22]Benjamin Bustos
Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications 27(4): 22-27 (2007) - [j21]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu:
Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. Datenbank-Spektrum 7(20): 23-32 (2007) - 2006
- [j20]Benjamin Bustos
An experimental effectiveness comparison of methods for 3D similarity search. Int. J. Digit. Libr. 6(1): 39-54 (2006) - [j19]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati
Compression of textured surfaces represented as surfel sets. Signal Process. Image Commun. 21(9): 770-786 (2006) - [c45]Mauro R. Ruggeri, Tal Darom, Dietmar Saupe, Nahum Kiryati:
Approximating Geodesics on Point Set Surfaces. PBG@SIGGRAPH 2006: 85-93 - [e4]Abraham Bernstein, Thomas Dreier, Steffen Hölldobler, Günter Hotz, Klaus-Peter Löhr, Paul Molitor, Gustaf Neumann, Rüdiger Reischuk, Dietmar Saupe, Myra Spiliopoulou, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2005. LNI D-6, GI 2006, ISBN 978-3-88579-410-3 [contents] - 2005
- [j18]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck
Feature-based similarity search in 3D object databases. ACM Comput. Surv. 37(4): 345-387 (2005) - [c44]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati
Processing of textured surfaces represented as surfel sets: representation, compression and geodesic paths. ICIP (1) 2005: 605-608 - [e3]Thomas Dreier, Oliver Günther, Steffen Hölldobler, Klaus-Peter Löhr, Paul Molitor, Rüdiger Reischuk, Dietmar Saupe, Dorothea Wagner:
Ausgezeichnete Informatikdissertationen 2004. LNI D-5, GI 2005, ISBN 3-88579-409-8 [contents] - 2004
- [b5]Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe:
Chaos and fractals - new frontiers of science (2. ed.). Springer 2004, ISBN 978-0-387-20229-7, pp. I-XIII, 1-864 - [j17]Jarke J. van Wijk, Dietmar Saupe:
Image based rendering of iterated function systems. Comput. Graph. 28(6): 937-943 (2004) - [j16]Oliver Deussen, Heinrich Müller, Dietmar Saupe, Hans-Peter Seidel:
Graphische Datenverarbeitung. Inform. Spektrum 27(6): 495 (2004) - [c43]Benjamin Bustos
An Experimental Comparison of Feature-Based 3D Retrieval Methods. 3DPVT 2004: 215-222 - [c42]Mauro R. Ruggeri, Dejan V. Vranic, Dietmar Saupe:
Shape Similarity Search for Surfelbased Models. ICCVG 2004: 131-140 - [c41]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck
Using entropy impurity for improved 3D object similarity search. ICME 2004: 1303-1306 - [c40]Benjamin Bustos
Automatic selection and combination of descriptors for effective 3D similarity search. ISMSE 2004: 514-521 - [e2]Oliver Deussen, Charles D. Hansen, Daniel A. Keim, Dietmar Saupe:
6th Joint Eurographics - IEEE TCVG Symposium on Visualization, VisSym 2004, Konstanz, Germany, May 19-21, 2004. Eurographics Association 2004, ISBN 3-905673-07-X [contents] - 2003
- [j15]Dietmar Saupe, Raouf Hamzaoui:
Bild- und Videokompression. it Inf. Technol. 45(5): 245-246 (2003) - [j14]Vladimir Stankovic
Fast algorithm for rate-based optimal error protection of embedded codes. IEEE Trans. Commun. 51(11): 1788-1795 (2003) - [c37]Vladimir Stankovic
Influence of channel fluctuations on optimal real-time scalable image transmission. ICIP (1) 2003: 81-84 - [c36]Youssef Charfi, Raouf Hamzaoui, Dietmar Saupe:
Model-based real-time progressive transmission of images over noisy channels. WCNC 2003: 784-789 - 2002
- [j13]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Datenbank-Spektrum 2: 54-63 (2002) - [c33]Dejan V. Vranic, Dietmar Saupe:
Description of 3D-shape using a complex function on the sphere. ICME (1) 2002: 177-180 - 2001
- [j11]Raouf Hamzaoui, Dietmar Saupe, Michael Hiller:
Distortion Minimization with Fast Local Search for Fractal Image Compression. J. Vis. Commun. Image Represent. 12(4): 450-468 (2001) - [c30]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. BTW 2001: 384-401 - [c29]Dietmar Saupe, Dejan V. Vranic:
3D Model Retrieval with Spherical Harmonics and Moments. DAGM-Symposium 2001: 392-397 - [c28]Iván Kopilovic, Dietmar Saupe, Raouf Hamzaoui:
Progressive fractal coding. ICIP (1) 2001: 86-89 - [c27]Vladimir Stankovic
Rate-distortion unequal error protection for fractal image codes. ICIP (1) 2001: 98-101 - [c26]Dejan V. Vranic, Dietmar Saupe, Jörg Richter:
Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics. MMSP 2001: 293-298 - 2000
- [j10]Raouf Hamzaoui, Hannes Hartenstein, Dietmar Saupe:
Local iterative improvement of fractal image codes. Image Vis. Comput. 18(6-7): 565-568 (2000) - [j9]Hannes Hartenstein, Dietmar Saupe:
Lossless acceleration of fractal image encoding via the fast Fourier transform. Signal Process. Image Commun. 16(4): 383-394 (2000) - [j8]Raouf Hamzaoui, Dietmar Saupe:
Combining fractal image compression and vector quantization. IEEE Trans. Image Process. 9(2): 197-208 (2000) - [j7]Hannes Hartenstein, Matthias Ruhl, Dietmar Saupe:
Region-based fractal image compression. IEEE Trans. Image Process. 9(7): 1171-1184 (2000) - [c23]Marcel Wagner, Dietmar Saupe:
RD-Optimization of Hierarchical Structured Adaptive Vector Quantization for Video Coding. Data Compression Conference 2000: 576 - [c22]Marcel Wagner, Dietmar Saupe:
Video coding with quad-trees and adaptive vector quantization. EUSIPCO 2000: 1-4 - [c20]Raouf Hamzaoui, Dietmar Saupe, Michael Hiller:
Fast Code Enhancement with Local Search for Fractal Image Compression. ICIP 2000: 156-159 - 1999
- [c18]Harald Fischer, Stefan Egenter, Dietmar Saupe, Jürgen Hennig:
Segmentierung der Brüste in der dynamischen MR-Mammographie. Bildverarbeitung für die Medizin 1999: 382-386 - [c17]Harald Fischer, Stefan Egenter, Dietmar Saupe, Jürgen Hennig:
Meiji eine DICOM lesende, Java basierte Software zur Auswertung von MR-Mammographien. Bildverarbeitung für die Medizin 1999: 435-439 - [c16]Marcel Wagner, Ralf Herz, Hannes Hartenstein, Raouf Hamzaoui, Dietmar Saupe:
A Video Codec Based on R/D-Optimized Adaptive Vector Quantization. Data Compression Conference 1999: 556 - 1998
- [j4]Hannes Hartenstein, Dietmar Saupe:
On entropy minimization for near-lossless differential coding. IEEE Commun. Lett. 2(4): 97-99 (1998) - [c15]Hannes Hartenstein, Dietmar Saupe:
Cost-based region growing for fractal image compression. EUSIPCO 1998: 1-4 - [c14]Dietmar Saupe, Matthias Ruhl, Raouf Hamzaoui, Luigi Grandi, Daniele Marini:
Optimal Hierarchical Partitions for Fractal Image Compression. ICIP (1) 1998: 737-741 - [c13]Raouf Hamzaoui, Dietmar Saupe, Marcel Wagner:
Rate-Distortion based Video Coding with Adaptive Mean-Removed Vector Quantization. ICIP (3) 1998: 958-961 - 1997
- [j3]Haripriya Rangan, Matthias Ruhl, Dietmar Saupe:
Interactive Visualization of Implicit Surfaces with Singularities. Comput. Graph. Forum 16(5): 295-306 (1997) - [c12]Raouf Hamzaoui, Bertram Ganz, Dietmar Saupe:
Quadtree Based Variable Rate Oriented Mean Shape-Gain Vector Quantization. Data Compression Conference 1997: 327-336 - [c11]Hannes Hartenstein, Dietmar Saupe, Kai Uwe Barthel:
VQ-encoding of luminance parameters in fractal coding schemes. ICASSP 1997: 2701-2704 - [c10]Matthias Ruhl, Hannes Hartenstein, Dietmar Saupe:
Adaptive Partitionings for Fractal Image Compression. ICIP (2) 1997: 310-313 - 1996
- [c8]Simone Peschl, R. Strecker, Michael Markl, Dietmar Saupe, Jürgen Hennig:
Messung von Herzwandbewegung mit MR-Interferographie. Bildverarbeitung für die Medizin 1996 - [c7]Dietmar Saupe, Matthias Ruhl:
Evolutionary fractal image compression. ICIP (1) 1996: 129-132 - [c6]Raouf Hamzaoui, Martin Müller, Dietmar Saupe:
VQ-enhanced fractal image compression. ICIP (1) 1996: 153-156 - [c4]Dietmar Saupe, Hannes Hartenstein:
Lossless acceleration of fractal image compression by fast convolution. ICIP (1) 1996: 185-188 - 1995
- [c2]Dietmar Saupe, Matthias Ruhl:
Animation of Algebraic Surfaces. VisMath 1995: 83-92 - 1992
- [b4]Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe:
Chaos and fractals - new frontiers of science. Springer 1992, ISBN 978-3-540-97903-6, pp. I-XVI, 1-984 - [b3]Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe:
Bausteine des Chaos - Fraktale. Springer 1992, ISBN 978-3-540-55781-4, pp. I-XVIII, 1-514 - [b2]Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe:
Fractals for the classroom 2 - Complex systems and Mandelbrot set. Springer 1992, ISBN 3540977228, pp. I-XII, 1-500
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last updated on 2025-11-04 00:35 CET by the dblp team
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