Home
Next
1. Introduction
In image compression, pixel-to-pixel correlation is often exploited to yield higher compression ratio. Pyramid coder is a noncausal prediction method, in which its performance depends largely on its filter and interpolator. In this project, the classical Burt/Adelson pyramid coder is implemented. It is compared to another scheme which uses a simple nonlinear filter and interpolator. Although the nonlinear prediction gives better result, it possesses a drawback, namely aliasing. This might be a major problem on progressive transmission of some images. Aliasing is illustrated in section4. An attempt to reduce aliasing is described in section5 where we use a combination of several filters with a decision method. All of the coders in this project have the same structure as the classical one. The only variables are the filter and the interpolator.
Home
Next