Staff profile

Dr Dennis Deng

Reader and Associate Professor

Faculty of Science, Technology and Engineering

School of Engineering and Mathematical Sciences
Department of Electronic Engineering

Beth Gleeson Building, Room 439, Melbourne (Bundoora)

 

Qualifications

BSc Sun Yat-Sen Univ., MEng Chinese Academy of Sciences , PhD La Trobe.

Area of study

Electronic Engineering

Research interests

Digital signal Processing

- statistical signal processing, Generalized linear systems, data compression

Teaching Units

ELE2CIR - Linear Circuits and Signals

ELE3SIP - Digital Signal Processing

ELE4ASP - Advanced Signal Processing

ELE4IPC - Image Processing and Coding

Recent Publications

G. Deng, "A parametric generalized linear system based on the notion of the t-norm", IEEE Transactions Image Processing, accepted, 2012.

G. Deng, " A generalized logarithmic image processing model based on the gigavision sensor model", IEEE Transactions Image Processing, v.21, pp 1406-1414, 2012

G. Deng, “A generalized unsharp masking algorithm” IEEE Transactions Image Processing, v.20, pp.1249-1261, 2011.

G. Deng, “Iterative algorithms for learning a linear Guassian observation model with an exponential power scale mixture prior”,  IET Signal Processing, v.5, pp.58-65, 2011.

G. Deng, “An entropy interpretation of the logarithmic image processing model with application to contrast enhancement,” IEEE Transactions Image Processing, v. 18, pp.1135-1140, 2009.

G. Deng and W.-Y. Ng “An adaptive penalized maximum likelihood algorithm,” Signal Processing, v.88, pp.2323-2334, 2008.  

G. Deng, “Sequential and adaptive learning algorithms for M-estimation,” in special issue on Machine Learning in Image Processing, EURASIP Journal on Advances in Signal Processing, v. 2008, Article ID 459586 doi:10.1155/2008/459586, 2008.  

G. Deng and W.-Y. Ng, “Iterative estimation algorithms using conjugate function lower bound and minorization-maximization with applications in image denoising,” in special issue on Emerging Machine Learning Techniques in Signal Processing, EURASIP Journal on Advances in Signal Processing, v. 2008, Article ID 429128, 2008.  

G. Deng, D. Tay and S. Marusic, "A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models," Signal Processing, v. 87, pp. 866-876, 2007.  

G. Deng, “Robust sequential learning algorithms for linear observation models," IEEE Transactions. Signal Processing, v.55, pp. 2472-2485, 2007.  

G. Deng, "Iterative learning algorithms for linear Gaussian observation models," IEEE Transactions on Signal Processing, v.52, pp.2286-2297, 2004.  

G. Deng and H. Ye, "Maximum likelihood based framework for second-level adaptive prediction," IEE Proceedings-Vision, Image and Signal Processing, v. 5, pp. 193 -197, 2003.  

G. Deng, "Transform domain LMS-based adaptive prediction for lossless image coding," Signal Processing, Image Communication, v.17, No.9, pp. 219-229, 2002.  

G. Deng, H. Ye, and L.W. Cahill, “Adaptive combination of linear predictors for lossless image compression,” IEE Proc. Sci., Meas and Tech., v. 147, pp. 414-419, 2000. 

 

 

Older Publications

G. Deng "An interpolative subband coding algorithm for efficient lossless image compression," Signal Processing, Image Communication, v.14, pp. 721-736, 1999.  

 G. Deng and J. C. Pinoli, "Differentiation-based edge detection using the logarithmic image processing model," Journal of Mathematical Imaging and Vision, v. 8, pp. 161-180, 1998.  

G. Deng, L. W. Cahill and G. R. Tobin, "A study of the logarithmic image processing model and its application to image enhancement," IEEE Trans. Image Processing, v.4, pp. 506-512, 1995.

Research projects

  • Bayesian signal processing
  • Generalized linear systems
  • Speech signal processing for cochlear implants
  • Lossless image compression