Linear filtering of image subbands for low complexity postprocessing of decoded color images
Yükleniyor...
Dosyalar
Tarih
2005
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPIE-Int Soc Optical Engineering
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In [1], image adaptive linear minimum mean squared error (LMMSE) filtering was proposed as an enhancement layer color image coding technique that exploited the statistical dependencies among the luminance/chrominance or Karhunen Loeve Transform (KLT) coordinate planes of a lossy compressed color image to enhance the red, blue, green (RGB) color coordinate planes of that image. In the current work, we propose the independent design and application of LMMSE filters on the subbands of a color image as a low complexity solution. Towards this end, only the coordinates of the neighbors of the filtered subband coefficient, that are sufficiently correlated with the corresponding coordinate of the filtered subband coefficient, are included in the support of the filter for each subband. Additionally, each subband LMMSE filter is selectively applied only on the high variance regions of the subband. Simulation results show that, at the expense of an insignificant increase in the overhead rate for the transmission of the coefficients of the filters and with about the same enhancement gain advantage, subband LMMSE filtering offers a substantial complexity advantage over fullband LMMSE filtering.
Açıklama
Anahtar Kelimeler
Postprocessing, Linear filtering, Color image coding, Enhancement layer, Subband, Wavelet transform, Efficient, Trees
Kaynak
Proceedings of SPIE - The International Society for Optical Engineering
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
5685
Sayı
Künye
Bayazit, U. (2005). Linear filtering of image subbands for low complexity postprocessing of decoded color images. Proceedings of SPIE - the International Society for Optical Engineering, 5685(2), 810-820. doi:10.1117/12.586769
