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

N Young; Adrian N Evans

doi:10.1109/ICIP.2003.1246966

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

N Young, Adrian N Evans

Department of Electronic & Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (SciVal)

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 language	English
Pages	I:333-I:336
DOIs	https://doi.org/10.1109/ICIP.2003.1246966
Publication status	Published - 2003
Event	International Conference on Image Processing (ICIP 2003) - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003

Conference

Conference	International Conference on Image Processing (ICIP 2003)
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03

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10.1109/ICIP.2003.1246966

Cite this

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title = "Spatio-temporal attribute morphology filters for noise reduction in image sequences",

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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AU - Evans, Adrian N

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AB - 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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U2 - 10.1109/ICIP.2003.1246966

DO - 10.1109/ICIP.2003.1246966

M3 - Paper

SP - I:333-I:336

T2 - International Conference on Image Processing (ICIP 2003)

Y2 - 14 September 2003 through 17 September 2003

ER -

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

Abstract

Conference

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