Evaluation of phase retrieval in a compressive computational ghost imaging setup

Ghost imaging has been developed into different setups to use the correlation properties of light to obtain the image of an object. Its computational version has been combined with Compressive Sensing algorithms to recover images with far less data than the Nyquist limit dictates. However, the retrieval in the image of certain properties of the object, such as its Fourier phase spectrum, has not been studied using ghost imaging setups. This monograph precisely presents this type of studies. Specifically, a new compressive computational ghost imaging setup is introduced, and implemented in the optical table, obtaining high quality images. Additionally, a procedure to indirectly measure and quantify the phase retrieval is proposed, explained and implemented. This procedure allows to confirm the successful recovery of phase spectrum information through compressive sensing methods in computational ghost imaging.

• Autores: Urrea Niño, Juan Andrés
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2017
• Institución: Universidad de los Andes
• Repositorio: Séneca: repositorio Uniandes
• Idioma: eng
• OAI Identifier: oai:repositorio.uniandes.edu.co:1992/61308
• Acceso en línea: http://hdl.handle.net/1992/61308
• Palabra clave: Computadores cuánticos; Procesamiento de imágenes
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/