Image Coding Using Wavelet Theory

Abstract

In this paper image coding for (Computer Generated Hologram) CGH technique, is investigated ideal analysis is undertaking to build and to constructed hologram by using wavelet theory and the images taking in to construction binary cell oriented holograms. This model is used to test performance for the image of CGH. The success of any transform coding technique depends on how well the biases functions represent the signal features. The discrete wavelet transform (DWT) performs analysis of a signal; this enables an efficient representation of smooth and detailed signal regions. Furthermore, computationally efficient algorithms exit for computing the DWT. For this reasons, recent image standards such as TIF us the wavelet transform. It is well known that orthogonally and symmetry is desirable transform properties in image CGH application. This paper discus analyzes the impact of these wavelet characteristics on image performance; the analysis allows us to the first reasons for the small performance gap between the scalar wavelet and another method.