Title :
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
fDate :
6/1/2011 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2095020