Title :
A parallel one dimensional resampling algorithm
Author :
Sueyllam, H.M. ; Ismail, M.A. ; Ahmed, K.M.
Author_Institution :
Dept. of Comput. Sci., Alexandria Univ., Egypt
Abstract :
Separable algorithms are useful in casting image warping into a framework that is amenable to hardware implementation. Growing interest in this area has gained impetus from the widespread proliferation of advanced workstations and digital signal processors. Examples include realtime hardware for video effects among others. The central benefit of separable algorithms is the reduction in complexity of one dimensional resampling algorithms. When the input is restricted to be one-dimensional, efficient solutions are made possible for the image reconstruction and antialiasing components of resampling. Fant (1986) presented such a solution that is well suited for hardware implementation. Fant´s algorithm, however, is inherently serial. We present an alternative but equivalent (in the sense of producing exactly the same output scan lines) algorithm, that is parallel. The new algorithm was inspired by Wolberg´s algorithm (1990). The new algorithm adds some overhead to the hardware implementation of Fant´s algorithm to be able to achieve parallelism.
Keywords :
image reconstruction; image sampling; parallel algorithms; antialiasing components; digital signal processors; hardware implementation; image reconstruction; image warping; parallel one dimensional resampling algorithm; realtime hardware; separable algorithms; video effects; workstations; Casting; Computer science; Digital signal processors; Hardware; Image reconstruction; Parallel processing; Signal processing algorithms; Software algorithms; Space technology; Workstations;
Conference_Titel :
Computers and Communications, 1995. Proceedings., IEEE Symposium on
Conference_Location :
Alexandria, Egypt
Print_ISBN :
0-8186-7075-4
DOI :
10.1109/SCAC.1995.523678