Johannes Ballé, Dr.-Ing.

[team/balle.jpg]

Researcher
Image and Video Coding Group

 

Research Interests

Texture Modeling, Human Perception, Signal Processing, Estimation, Random Processes

Contact Information

See my blog

Publications

J. Ballé, Image Compression by Microtexture Synthesis. No. 11 in Aachen Series on Multimedia and Communications Engineering, Aachen: Shaker, Nov. 2012. [ bib | .pdf ]

J. Ballé, Image Compression by Microtexture Synthesis. PhD thesis, RWTH Aachen University, Aug. 2012. [ bib ]

D. Miraut, J. Ballé, and J. Portilla, “Efficient shift-variant image restoration using deformable filtering (part II): PSF field estimation,” EURASIP Journal on Advances in Signal Processing, vol. 2012, Aug. 2012. [ bib | DOI ]

J. Ballé, “Subjective evaluation of texture similarity metrics for compression applications,” in Proc. of International Picture Coding Symposium PCS '12, IEEE, Piscataway, May 2012. [ bib | DOI | .pdf ]

F. Jäger and J. Ballé, “Median trilateral loop filter for depth map video coding,” in Proc. of International Picture Coding Symposium PCS '12, (Kraków, Poland), IEEE, Piscataway, May 2012. [ bib | DOI | .pdf ]

J. Ballé, A. Stojanovic, and J.-R. Ohm, “Models for static and dynamic texture synthesis in image and video compression,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, pp. 1353–1365, Nov. 2011. [ bib | DOI | .pdf ]

C. Feldmann and J. Ballé, “Improved entropy coding for component-based image coding,” in Proc. of IEEE International Conference on Image Processing ICIP '11, Sept. 2011. [ bib | DOI | .pdf ]

C. Feldmann and J. Ballé, “Development of an entropy code for component based image compression,” in Proc. of International Student Conference on Electrical Engineering POSTER '11, (Prague, Czech Republic), May 2011. [ bib | .pdf ]

J. Ballé, “Image simplification by frequency-selective means filtering,” in Proc. of International Picture Coding Symposium PCS '10, pp. 126–129, Dec. 2010. [ bib | DOI | more… ]

A. Behrens, L. Atorf, R. Schwann, B. Neumann, R. Schnitzler, J. Ballé, T. Herold, A. Telle, T. G. Noll, K. Hameyer, and T. Aach, “MATLAB meets LEGO Mindstorms—a freshman introduction course into practical engineering,” IEEE Transactions on Education, vol. 53, pp. 306–317, May 2010. [ bib | DOI | more… ]

F. Jäger and J. Ballé, “Modeling noisy texture for component based video coding,” in Proc. of International Student Conference on Electrical Engineering POSTER '10, May 2010. [ bib | .pdf ]

J. Ballé, B. Jurczyk, and A. Stojanovic, “Component-based image coding using non-local means filtering and an autoregressive texture model,” in Proc. of IEEE International Conference on Image Processing ICIP '09, pp. 1937–1940, IEEE, Piscataway, Nov. 2009. [ bib | DOI | more… | .pdf ]

J. Ballé and M. Wien, “A quantization scheme for modeling and coding of noisy texture in natural images,” in Proc. of IASTED Conference on Signal and Image Processing SIP '09, ACTA Press, Calgary, Aug. 2009. [ bib | .pdf ]

S. Kamp, J. Ballé, and M. Wien, “Multihypothesis prediction using decoder side motion vector derivation in inter frame video coding,” in Proc. of SPIE Visual Communications and Image Processing VCIP '09, (San José, CA, USA), SPIE, Bellingham, Jan. 2009. [ bib | DOI | .pdf ]

J. Ballé and M. Wien, “Extended texture prediction for H.264/AVC intra coding,” in Proc. of IEEE International Conference on Image Processing ICIP '07, vol. VI, pp. 93–96, IEEE, Piscataway, Sept. 2007. [ bib | DOI ]

J. Ballé and P. Hulsen, “Implementing grid networks in the CE domain,” in Proc. of IEEE International Symposium on Consumer Electronics ISCE '06, IEEE, Piscataway, 2006. [ bib | DOI ]

Standardization Documents

S. Kamp, J. Ballé, and M. Wien, “Response to Call for Evidence in HVC: Hybrid video coding with ETP and DMVD,” Doc. MPEG2009/M16661, ISO/IEC JTC1/SC29/WG11, London, UK, July 2009. [ bib ]

J. Ballé and M. Wien, “Extended texture prediction for H.264 intra coding,” Doc. VCEG-AE11, ITU-T SG16/Q6 VCEG, 31st meeting, Marrakech, Morocco, Jan. 2007. [ bib ]

Software

libcabac: object oriented C++ implementation of the CABAC engine of H.264/AVC
BerliOS project page API documentation