Konferans bildirisi Açık Erişim

Image Source Separation Using Color Channel Dependencies

   Kayabol, Koray; Kuruoglu, Ercan E.; Sankur, Bulent

We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of color images which have dependence between its components. A Markov Random Field (MRF) is used for modeling of the inter and intra-source local correlations. We. resort to Gibbs sampling algorithm for obtaining the MAP estimate of the sources since non-Gaussian priors are adopted. We test the performance of the proposed method both oil synthetic color texture mixtures and a realistic color scene captured with a spurious reflection.

Dosyalar (170 Bytes)
Dosya adı Boyutu
bib-a202fc66-4b09-44bf-a45e-325f711e3db0.txt
md5:a307768c6048f8292bd1cc5f4402a563
170 Bytes İndir
10
3
görüntülenme
indirilme
Görüntülenme 10
İndirme 3
Veri hacmi 510 Bytes
Tekil görüntülenme 10
Tekil indirme 3

Alıntı yap