Spatio-temporal attribute morphology filters for noise reduction in image sequences

Reference:

Young, N. and Evans, A. N., 2003. Spatio-temporal attribute morphology filters for noise reduction in image sequences. In: International Conference on Image Processing (ICIP 2003), 2003-09-14 - 2003-09-17, Barcelona.

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Official URL:

http://dx.doi.org/10.1109/ICIP.2003.1246966

Abstract

In video compression image noise degrades the overall compression performance. Reducing the noise content can produce a more compressible sequence, ideally with minimal effect on the visual quality. This paper presents a new approach to noise reduction using sliding window spatio-temporal attribute morphology filters with both area and power attributes. A combined spatial and spatio-temporal algorithm is proposed that produces a better overall peak signal to noise ratio (PSNR) performance than either spatial or spatio-temporal filtering individually. The compression benefits of such an approach are also demonstrated.

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