Linear filtering of image subbands for low complexity postprocessing of decoded color images

Ulug Bayazit

doi:10.1117/12.586769

14 March 2005 Linear filtering of image subbands for low complexity postprocessing of decoded color images

Ulug Bayazit

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.586769
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

In reference 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.

Citation Download Citation

Ulug Bayazit "Linear filtering of image subbands for low complexity postprocessing of decoded color images", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.586769

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KEYWORDS

Image filtering

Linear filtering

Image compression

RGB color model

Image enhancement

Quantization

Optical filters

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