Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures

Author

Bronstein, Michael M.

Author_Institution

Inst. of Comput. Sci., Univ. della Svizzera Italiana, Lugano, Switzerland

Volume

20

Issue

6

fYear

2011

fDate

6/1/2011 12:00:00 AM

Firstpage

1751

Lastpage

1756

Abstract

Bilateral filter is one of the state-of-the-art methods for noise reduction in images. The plausible visual result the filter produces makes it a common choice for image and video processing applications, yet, its high computational complexity makes a real-time implementation a challenging task. Presented here is a parallel version of the bilateral filter using a lazy sliding window, suitable for SIMD-type architectures.

Keywords

computational complexity; digital signal processing chips; filtering theory; image denoising; parallel architectures; SIMD-type architectures; bilateral filter; computational complexity; digital signal processors; image noise reduction; image processing; lazy sliding window; parallel architectures; single instruction multiple data; video processing; Acceleration; Approximation methods; Complexity theory; Dynamic range; Noise; Noise reduction; Pixel; Bilateral filter; lazy sliding window; noise reduction; retinex; Algorithms; Artifacts; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2010.2095020

Filename

5645684