ELEC70085 Computational Sensing and ImagingLecturer(s): Dr Ayush Bhandari Aims
As conventional hardware and algorithms are being driven to their limits, researchers have started to realize the benefits of a codesign approach that leverages on a symbiotic relationship between hardware and algorithms. Instead of traditional “capture first, process later” approach, the hardwaresoftware codesign approach surpasses traditional bottlenecks in sensing. At the convergence of inverse problems, physical models and optics/vision, the module will focus on the foundational principles of this emerging topic. Theoretical approaches will focus on abstracting inverse problems from wider, interdisciplinary applications and provide for mathematical tools for solving such problems. Practical/applied experience will entail application of algorithms on experimental data acquired from novel sensors.
Learning Outcomes
By the end of this module, you will be able to:  model the data acquisition process by using advanced mathematical tools  develop algorithms for inverse problems.  design alternative sensors by leveraging tools from different domains.  analytically, numerically and experimentally analyse data from novel sensor.
Syllabus
Introduction to Computational Sensing Sensing and Imaging Toolkit: a) 1D Sampling  2D Imaging  3D Voxel Acquisition b) Optics, Image Sensors and Image Formation Computational Toolkit: a) Modeling: Forward vs Inverse Problems b) Sampling Architectures c) Math Tools (Signal Proc., Linear Algebra and Optimization). d) Algorithmic Toolkit (e.g. Spectral Estimation, Orthogonal Matching Pursuit, Superresolution, OneBit Noise Shaping, Sparse Recovery etc.) Plenoptic Coding: a) Spatially Coded Imaging b) Temporally Coded Imaging c) Lightfield Imaging d) Multispectral Imaging Case Studies a) SinglePixel Imaging b) TimeofFlight Imaging c) Fluorescence Lifetime Imaging d) Modulo Sensing and Imaging e) Tomography f) OneBit Sensing
Exam Duration: N/A Exam contribution: 100% Coursework contribution: 0% Term: Autumn Closed or Open Book (end of year exam): N/A Coursework Requirement: N/A Oral Exam Required (as final assessment): N/A Prerequisite module(s): None required Course Homepage: unavailable Book List:
