Simultaneous identification of image and blur parameters with the 2-D hybrid lattice structure 2-B'lu karma kafes yapisi ile imge ve bulaniklik parametrelerinin eşzamanli tanilanmasi


Yildiz Sari N., Sari F., Kayran A. H.

IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Turkey, 16 - 18 May 2005, vol.2005, pp.312-315 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2005
  • Doi Number: 10.1109/siu.2005.1567683
  • City: Kayseri
  • Country: Turkey
  • Page Numbers: pp.312-315
  • Istanbul Technical University Affiliated: Yes

Abstract

A new procedure, where the original image and blur parameters can be simultaneously identified using two-dimensional (2-D) hybrid lattice structures has been presented, utilizing the fact that noisy and blurred images be presented by an autoregressive moving average (ARMA) model. AR parameters obtained as the result of identification process, represent the original image, whereas the MA parameters represent the blur. In this proposed method, the noncausal blur has been processed in the support region covering the whole plane, without the need for factorization into quarter planes. Besides, there is no need for normalization regarding the blur parameters. Since the method is recursive in nature, it is not affected by image data size. It is expected that the obtained image and blur parameters can be used for image restoration purposes. © 2005 IEEE.