Abstract

Design patterns and frameworks are increasingly popular techniques for addressing key aspects of the design of complex software systems. Patterns support the reuse of design expertise by articulating the aspects of successful solutions to design problems in a particular context. Frameworks are concrete realizations of groups of patterns that enable code reuse and design reuse control of application-specific structures and behaviors to application developers. Application frameworks encapsulate expertise applicable to a wide range of programs and aim to provide a full range of functionality typically needed by an application thus encompassing a horizontal slice of functionality that can be applied across client domains. Domain frameworks encapsulate expertise in a particular domain, thus encompassing a vertical slice of functionality for a specific problem domain reducing the amount of work that needs to be done to implement domain-specific applications. Wavelets and wavelet transform concepts originated from a synthesis of ideas developed during the last thirty years in engineering, physics, and pure mathematics. Wavelets have been very successful in many scientific and engineering fields and they have led to many successful applications in signal analysis and image processing. In this thesis we are presenting design and implementation elements for the development of an object-oriented application and domain framework prototype for wavelet-based image processing applications using design patterns.