Spatio Temporal Video Denoising by Block Based Motion detection

Spatio - Temporal Video Denoising by Block - Based Motion detection

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-8                      
Year of Publication : 2013
Authors : Seema Mishra , Preety D Swami

Citation 

Seema Mishra , Preety D Swami. "Spatio - Temporal Video Denoising by Block - Based Motion detection". International Journal of Engineering Trends and Technology (IJETT). V4(8):3371-3382 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

This paper proposes a new video denoising technique where spatially adaptive noise filtering in wavelet (transform) domain is combined with temporal filtering in signal domain. AWGN is being considered which behaves as Gaussian random variable. In this paper , spatial filtering of individual frames is done in the wa velet domain, and the filtering between the frames is done by recursive temporal filter. Spatial filtering is done by taking wavelet transform of individual frames and then modifying the wavelet coefficients by spatially adaptive bayesian wavelet shrinkage method. The denoising artifacts and residual noise differ from frame to frame which produces unpleasant visual effect. Hence filtering in time domain is essential. Temporal filte ring is based on a simple block based motion detector and on selective recursive time averaging of frames. This technique outperforms sequential spatio - temporal filters , 2 - D spatial filters and 3 - D (spatio - temporal) in terms of visual quality as well as quantitative (PSNR) performance measures .

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Keywords
Motion detection, Recursive temporal filtering , Spatial adaptive Bayesian shrinkage, Video denoising , Wavelet transform .