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Local Contrast Enhancement Using 2-Dimensional Recursive Filters

Summary: Local Contrast Enhancement Using 2-Dimensional
Recursive Filters
Tarik Arici, Salih Dikbas, and Yucel Altunbasak
School of Electrical and
Computer Engineering
Georgia Institute of Technology
Atlanta, Georgia 30332
Email: {tariq, salih, yucel}@ece.gatech.edu
Abstract-- We present an unsharp masking type local contrast
enhancement method that uses spatially adaptive 2-dimensional
(2-D) recursive filters. The proposed 2-D recursive filters are a
family of exponential smoothing filters. Three different forms
are proposed: separable extension of the 1-dimensional (1-D)
case, non-separable filter that uses 4- and 8-neighbors. The
isotropy of the transfer function improves as we move from
the first to the last, hence, better visual quality is obtained in
the real video experiments. Compared to non-recursive filters,
the computational complexity of the proposed recursive filters
is independent of the desired cut-off frequency. This enables
different levels of smoothing simply by spatially adapting the


Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology


Collections: Engineering