High-ISO Image De-noising and Quantum Image Processing

Abstract

Nour Abura'ed,High-ISO Image De-noising and Quantum Image Processing', M.Sc. Thesis, M. Sc. in Electrical and Computer Engineering, Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, United Arab Emirates, JUNE2016. This Master's thesis presents a study about high-ISO noise, which is a type of random noise caused by the camera's ISO setting. First, a systematic dataset is collected, which consists of images of several objects that are degraded by several levels of high-ISO noise. This dataset is used in order to perform baseline experiments. The goal of these experiments is to prove that high-ISO noise aects luminance and chrominance channels dierently. Based on the results of these experiments, two ltering algorithms are proposed for de-noising high-ISO images. The collected dataset is used to test the proposed lterals and evaluate their experimental results qualitatively and quantitatively. This thesis also presents a study about Quantum Image Processing (QuIP). Recently, it has been established that existing quantum algorithms are applicable to image processing tasks allowing quantum informational models of classical image processing. However, efforts continue in identifying the diversity of these models' applications in various image processing domains. Here, in addition to reviewing some of the critical image processing applications that quantum mechanics have targeted, such as de-noising, edge detection, image storage, retrieval, and compression; this thesis will also highlight the complexities in transitioning from classical to the quantum domain. A thorough literature review about this field is conducted in order to build deductions about its future directions. Statistical evidence is provided to support the claims, in addition to recommendations based on the published literature mostly during the period 2010-2015. This literature review serves as an evidence to support the possible effectiveness and importance of extending the proposed high-ISO de-noising elters to the quantum domain. Indexing Terms: Image processing, Image de-noising, high-ISO noise, quantum computing

Date of Award	Jun 2016
Original language	American English
Supervisor	Faisal Shah Khan (Supervisor)