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

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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.
Original languageEnglish
PagesI:333-I:336
DOIs
Publication statusPublished - 2003
EventInternational Conference on Image Processing (ICIP 2003) - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003

Conference

ConferenceInternational Conference on Image Processing (ICIP 2003)
CountrySpain
CityBarcelona
Period14/09/0317/09/03

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    Young, N., & Evans, A. N. (2003). Spatio-temporal attribute morphology filters for noise reduction in image sequences. I:333-I:336. Paper presented at International Conference on Image Processing (ICIP 2003), Barcelona, Spain. https://doi.org/10.1109/ICIP.2003.1246966