DocumentCode :
1576150
Title :
Image Local Contrast Enhancement using Adaptive Non-Linear Filters
Author :
Arici, Tank ; Altunbasak, Y.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2006
Firstpage :
2881
Lastpage :
2884
Abstract :
We present a locally adaptive non-linear (YENI) filter to obtain the unsharp mask of an image. The unsharp mask obtained by the YENI filter preserves the edges in the image while filtering out the local details, which correspond to mid-range frequencies in the spectrum. The enhanced image using this unsharp mask effectively prevents over/under (o/u) shooting artifacts often observed with other unsharp masking techniques. The enhanced frequency range also spans lower frequencies compared to the techniques that are based on Laplacian filter variants. This improves the visual quality of the image, as measured subjectively and objectively in the real-video experiments. Furthermore, since the YENI filter reduces to an IIR filter at each pixel location, it has a low computational complexity.
Keywords :
Laplace transforms; adaptive filters; computational complexity; image enhancement; nonlinear filters; video signal processing; Laplacian filter variants; YENI filter; adaptive non-linear filter; computational complexity; image local contrast enhancement; real-video experiment; unsharp masking technique; Adaptive filters; Computational complexity; Electronic mail; Frequency; Histograms; IIR filters; Image quality; Information filtering; Information filters; Laplace equations; IIR; Local contrast enhancement; recursive filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.313031
Filename :
4107171
Link To Document :
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