This paper addresses the reconstruction of complex sparse measurements taken from a complex valued signal, whose phase carries important information. This is the case in time-of-flight (TOF) and terahertz imaging, where the phase corresponds to the distance and thickness of objects, respectively. We used a single pixel TOF camera setup showing that existing state-of-the-art methods have problems to reconstruct the phase information as no prior knowledge is included. We present a method which includes prior knowledge of the phase signal in the reconstruction process by solving a minimization problem with a total variation regularization in phase space and show that this approach leads to superior super-resolution reconstruction results for TOF range data.
|Title of host publication||2011 IEEE International Instrumentation and Measurement Technology Conference|
|Number of pages||5|
|Publication status||Published - 01.05.2011|
|Event||2011 IEEE International Instrumentation and Measurement Technology Conference - Binjiang, Hangzhou, China|
Duration: 10.05.2011 → 12.05.2011
Conference number: 85996