Title :
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
Author :
Zhang, Buyue ; Allebach, Jan P.
Author_Institution :
Texas Instrum. Inc., Dallas
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper, we present an adaptive bilateral filter (ABF) for sharpness enhancement and noise removal. ABF sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. Our new approach to slope restoration significantly differs from the previous slope restoration algorithms in that ABF does not involve detecting edge orientations or edge profiles. Compared with the bilateral filter, ABF restored images are significantly sharper. Compared with an unsharp mask (USM) based sharpening method the optimal USM (OUM), ABF restored edges are as sharp as those rendered by the OUM, but without halo. ABF also outperforms the bilateral filter and the OUM in noise removal.
Keywords :
adaptive filters; edge detection; image denoising; image enhancement; image restoration; adaptive bilateral filter; edge detection; image noise removal; sharpness enhancement; slope restoration; unsharp mask; Adaptive filters; Gaussian noise; Image edge detection; Image quality; Image restoration; Instruments; Low pass filters; Noise reduction; Nonlinear filters; Rendering (computer graphics); bilateral filter; image restoration; noise removal; sharpness enhancement; slope restoration;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4380043