Denoising intra-coded moving pictures using motion estimation and pixel shift

Jiro Katto; Junya Suzuki; Shusei Itagaki; Shinichi Sakaida; Kazuhisa Iguchi

doi:10.1109/ICASSP.2008.4517879

Denoising intra-coded moving pictures using motion estimation and pixel shift

Jiro Katto^*, Junya Suzuki, Shusei Itagaki, Shinichi Sakaida, Kazuhisa Iguchi

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper presents a denoising method of intra-coded pictures using motion estimation and pixel shift. Firstly, we show that pixel-aligned mixture of distorted images which are spatially shifted and differently encoded brings reduction of quantization errors. We show that this effect can be formulated as a special case of Wiener-Hopf equation and independence of quantization errors affects the performance. We then consider its application to denoising of intra-coded pictures by using motion estimation and pixel shift. Experiments using actual image sequences verify that motion estimation is effective in moving regions, pixel shift is effective in static regions and favorable PSNR gains are achieved.

Original language	English
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	1393-1396
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4517879
Publication status	Published - 2008
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: 2008 Mar 31 → 2008 Apr 4

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	08/3/31 → 08/4/4

Keywords

Denoising
Motion estimation
Pixel shift
Wiener-hopf equation

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2008.4517879

Cite this

Katto, J., Suzuki, J., Itagaki, S., Sakaida, S., & Iguchi, K. (2008). Denoising intra-coded moving pictures using motion estimation and pixel shift. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 1393-1396). [4517879] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4517879

Denoising intra-coded moving pictures using motion estimation and pixel shift. / Katto, Jiro; Suzuki, Junya; Itagaki, Shusei et al.

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 1393-1396 4517879 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Katto, J, Suzuki, J, Itagaki, S, Sakaida, S & Iguchi, K 2008, Denoising intra-coded moving pictures using motion estimation and pixel shift. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4517879, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1393-1396, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 08/3/31. https://doi.org/10.1109/ICASSP.2008.4517879

Katto J, Suzuki J, Itagaki S, Sakaida S, Iguchi K. Denoising intra-coded moving pictures using motion estimation and pixel shift. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 1393-1396. 4517879. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2008.4517879

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abstract = "This paper presents a denoising method of intra-coded pictures using motion estimation and pixel shift. Firstly, we show that pixel-aligned mixture of distorted images which are spatially shifted and differently encoded brings reduction of quantization errors. We show that this effect can be formulated as a special case of Wiener-Hopf equation and independence of quantization errors affects the performance. We then consider its application to denoising of intra-coded pictures by using motion estimation and pixel shift. Experiments using actual image sequences verify that motion estimation is effective in moving regions, pixel shift is effective in static regions and favorable PSNR gains are achieved.",

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Denoising intra-coded moving pictures using motion estimation and pixel shift

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Keywords

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