Section
Research Areas
Compressive sensing in imaging, sensor networks, and UWB radios
Compressed sensing is motivated by the following questions: Since most signals acquired in practice are compressible, with most transform coefficients negligible, is it really necessary to acquire all that data to begin with? Is it possible to somehow capture the compressed information directly from a small number of measurements, and yet still reconstruct the same signals with small error? The emerging theory of compressive sensing aims at addressing exactly this. At the heart of CS is random sampling of the signal in its sparse basis representation so as to spread the aliasing components broadly and incoherently.Compressed sensing research at Delaware focuses on its applications to sensor networks, imaging, and UWB impulse radios.
Inverse Lithography
Similar to photographic printing, optical lithography uses light to expose masks which include transparent and opaque regions. The transmitted energy creates patterns on the underneath wafer. Due to resolution limits of optical lithographic systems, the resolution enhancement techniques (RET) are applied to compensate and minimize the pattern distortions as they are projected onto semiconductor wafers. RET mainly includes three kinds of techniques: optical proximity correction (OPC), phase-shifting masks (PSM), and off-axis illumination (OAI). Inverse lithography research at University of Delaware aims at developing gradient-based RET optimization methods to design mask patterns which effectively reduce the pattern distortions on the wafer. We are also studying double exposure optimization methods, in which the wafers are exposed twice with different optimized mask patterns.
Multi-tone blue noise dithering
Illustration of a suboptimal 8-bit blue noise multitone with various artifacts. Blue noise dithering – high frequency white noise with minimal energy at low frequencies – has had a profound impact on digital ink-jet and laser image printing because it represents an optimal distribution of black and white pixels for producing the illusion of a given shade of gray. The blue noise model, however, does not directly translated to printing multiple shades of gray by the placement of varying ink concentrations or various dot sizes. New device printer technologies allow for such multi-toning image quantization and our work aims at developing the corresponding optimal multi-tone blue noise spectral models, the corresponding dithering algorithms, and their fast implementation.
Research Group
- Xishuo Liu
- Andre Rauh
- Ana Beatriz Ramirez
- Ivan Dario Barrera
- Henry Arguello Fuentes
- Jirar Nicolas Helou
- Ofelia Patricia Villarreal
- Gonzalo Javier Garateguy
Research Group Alumni
Xu Ma,“Optimization of resolution enhancement techniques in optical lithography,” 2009.
Jan Bacca Rodriguez,“Blue noise methods for hexagonal grids and multitone dithering,”2007.
Michael J. Wilson,“Projectile navigation and the application to magnetometers,”2007.
Rennwei Ge, “Information security in mobile ad hoc networks,” 2006.
Liangping Ma, “Signal processing analysis and algorithms for internet congestion control,” 2005.
Karen Bloch, “Signal analysis methods for biological data,’’ 2004. Now with DuPont.
Sebastian Hoyos, “Mixed signal high speed processing solutions for broadband systems and technologies,” 2004. Now with the University of California at Berkeley.
Zhi Zhou, “Advances on digital video and visual cryptography,” 2004. Now with Samsung Research.
Caesar Nino, “New imaging technologies in halftoning: data hiding, color modeling and color matching,” 2002. Now with DuPont.
Jose Luis Paredes, “New robust signal processing tools for multimedian and communications,” Aug. 2001. Faculty Member at the University of Los Andes, Venezuela
Alexander Flaig, “Nearfield spot-beamforming,’’ Aug. 2000. Now with Texas Instruments.
Liehua Xie, “Authentication codes and watermarking for multimedia communications in lossy networks,’’ May 2000. Now with Eye Cast.
Daniel L. Lau (N. C. Gallagher co-supervisor), “Modern digital halftoning,’’ May 1999. Now with the faculty at the University of Kentucky.
Sudhakar Kalluri, “Nonlinear adaptive algorithms for robust signal processing and communication in impulsive environments,’’ Dec. 1998. Now with Intel.
Juan G. Gonzalez, “Robust technologies for wireless communications in non-gaussian environments,’’ (Winner of the Allan P. Colburn Best Dissertation Award as the most outstanding doctoral dissertation in engineering, mathematics, and computer sciences), May 1997. Now with Lucent Bell Laboratories.
David E. Griffith, “Robust time-frequency representations for signals in alpha-stable noise: methods and applications,” December 1997. Now with NIST.
Edwin A. Heredia, “A piecewise polynomial theory for nonlinear signal processing,’’ May 1996. Now with Microsoft.
Yeong T. Kim, “Permutation and combination filter lattices and their applications in nonlinear signal processing,’’ Aug. 1993. Now with Samsung Research Center.
Timothy Hall, “Permutation and combination weighted order stastic filters for image processing,’’ May 1994. Now with NIST.
Martin Mueller, “Tomographic algorithms and synthetic detector arrays,’’ May 1993. Now with Siemens Corp.
Kenneth E. Barner, “Permutation filters: a new group theoretic class of non-linear filters” (Winner of the Allan P. Colburn Best Dissertation Award as the most outstanding doctoral dissertation in engineering, mathematics, and computer sciences), May 1993. Faculty at the University of Delaware.
Shoupu Chen, “Micro-structured adoptive filter theory for robust signal processing,’’ May 1992. Now with Kodak Research.
David C. Brown (C. Ih co-supervisor), “Scene segmentation and definition for autonomous robotic navigation using structured light processing,’’ May 1989. Now with the Army Research Laboratories.
PhD. Dissertation Supervision
- Zhongmin
Wang. "New sampling and detection approaches for compressed
sensing and their application to ultra wideband communications". [more]
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