Title
Polyphase Antialiasing in Enlargements
Abstract
Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation ker- nels satisfying some îsmoothnessî qualities that are deter- mined in the spatial domain. Typical applications use lin- ear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the results are acceptable. However, since the interpolation kernel, i.e., the impulse response, has a nite, and small length, the frequency domain characteristics are not good. Therefore, when we enlarge the image by a rational factor of , aliasing effects usually appear and cause a no- ticeable degradation in quality of the image. One such ef- fect is jagged edges. Another effect is low frequency mod- ulation of high frequency components such as sampling noise. Enlarging an image by a factor of , is rep- resented by rst interpolating the image on a grid times ner than the original sampling grid, and then resampling it every grid points. While the usual treatment of the alias- ing created by the resampling operation is aimed towards improving the interpolation lter in the frequency domain, this paper suggests reducing the aliasing effects using a polyphase representation of the interpolation process, and treating the polyphase lters separately. We discuss sepa- rable interpolation and so the analysis is conducted for the one-dimensional case. Finally, we compare a 6 coefcient polyphase lters found using the suggested procedure with a 6 coefcient polyphase lters capable of reconstructing a 3rd order polynomial.
Year
Venue
Keywords
2003
SIP
polyphase lters.,resampling,enlargement,interpolation,antialiasing,low frequency,high frequency,satisfiability,frequency domain,impulse response
Field
DocType
Citations 
Frequency domain,Polyphase system,Spline interpolation,Impulse invariance,Computer science,Interpolation,Algorithm,Electronic engineering,Aliasing,Linear interpolation,Piecewise
Conference
0
PageRank 
References 
Authors
0.34
4
1
Name
Order
Citations
PageRank
Daniel Seidner130.91