Information Processing
& Algorithms Laboratory

everything can be optimized

ABOUT

The Information Processing and Algorithms Laboratory (iPAL) is directed by Prof. Vishal Monga. Graduate research in iPAL focuses on convex and non-convex optimization methods in learning, vision and signal processing. Our particular interest is in estimation frameworks where domain inspired prior knowledge is captured. This invariably leads to challenging optimization problems for which we develop new tractable solutions that facilitate a favorable performance-complexity trade-off.

NEWS

NEW! Handbook of Convex Optimization Methods in Imaging Science

This book discusses imaging science and provides tools for solving image processing and computer vision problems using convex optimization methods. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems.

NEW! WINNER & RUNNER-UP of CVPRW'19 NTIRE DEHAZING CHALLENGES

iPAL wins the New Trends in Image Restoration and Enhancement (NTIRE) Dehazing Challenges in CVPRW'19:
AtJ-DH ranks first in the NTIRE'19 Dehazing Challenges.
123-CEDH ranks second in the NTIRE'19 Dehazing Challenges.

RESEARCH AREAS

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Medical Imaging
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Computational
Imaging
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Robust Time-series
& Video Hashing
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Radar Signal
Processing
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Regularized Deep Networks
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Sparsity Constrained Estimation

KEY RESEARCH COLLABORATORS

Academia

Prof. Trac Tran (Johns Hopkins University)

Government Labs

Dr. Muralidhar Rangaswamy (US Air Force Research Laboratory)
Dr. Nasser Nasrabadi (US Army Research Laboratory, now West Virginia University)

Industry

Dr. Raja Bala (Xerox PARC)

KEY RESEARCH SPONSORS

Email
ipal.psu@gmail.com

Address
104 Electrical Engineering East,
University Park, PA 16802, USA

Lab Phone:
814-863-7810
814-867-4564