Enhanced Film Grain Noise Removal and Synthesis for High Fidelity Video Coding
Summary :
In this paper, we propose a novel technique for film grain noise removal and synthesis that can be adopted in high fidelity video coding. Film grain noise enhances the natural appearance of high fidelity video, therefore, it should be preserved. However, film grain noise is a burden to typical video compression systems because it has relatively large energy levels in the high frequency region. In order to improve the coding performance while preserving film grain noise, we propose film grain noise removal in the pre-processing step and film grain noise synthesis in the post processing step. In the pre-processing step, the film grain noise is removed by using temporal and inter-color correlations. Specifically, color image denoisng using inter color prediction provides good denoising performance in the noise-concentrated B plane, because film grain noise has inter-color correlation in the RGB domain. In the post-processing step, we present a noise model to generate noise that is close to the actual noise in terms of a couple of observed statistical properties, such as the inter-color correlation and power of the film grain noise. The results show that the coding gain of the denoised video is higher than for previous works, while the visual quality of the final reconstructed video is well preserved.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.11 pp.2253-2264
- Publication Date
- 2013/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E96.A.2253
- Type of Manuscript
- PAPER
- Category
- Image
Authors
Inseong HWANG
Yonsei University
Jinwoo JEONG
Yonsei University
Sungjei KIM
Yonsei University
Jangwon CHOI
Yonsei University
Yoonsik CHOE
Yonsei University
Keyword
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Inseong HWANG, Jinwoo JEONG, Sungjei KIM, Jangwon CHOI, Yoonsik CHOE, "Enhanced Film Grain Noise Removal and Synthesis for High Fidelity Video Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 11, pp. 2253-2264, November 2013, doi: 10.1587/transfun.E96.A.2253.
Abstract: In this paper, we propose a novel technique for film grain noise removal and synthesis that can be adopted in high fidelity video coding. Film grain noise enhances the natural appearance of high fidelity video, therefore, it should be preserved. However, film grain noise is a burden to typical video compression systems because it has relatively large energy levels in the high frequency region. In order to improve the coding performance while preserving film grain noise, we propose film grain noise removal in the pre-processing step and film grain noise synthesis in the post processing step. In the pre-processing step, the film grain noise is removed by using temporal and inter-color correlations. Specifically, color image denoisng using inter color prediction provides good denoising performance in the noise-concentrated B plane, because film grain noise has inter-color correlation in the RGB domain. In the post-processing step, we present a noise model to generate noise that is close to the actual noise in terms of a couple of observed statistical properties, such as the inter-color correlation and power of the film grain noise. The results show that the coding gain of the denoised video is higher than for previous works, while the visual quality of the final reconstructed video is well preserved.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2253/_p
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@ARTICLE{e96-a_11_2253,
author={Inseong HWANG, Jinwoo JEONG, Sungjei KIM, Jangwon CHOI, Yoonsik CHOE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Enhanced Film Grain Noise Removal and Synthesis for High Fidelity Video Coding},
year={2013},
volume={E96-A},
number={11},
pages={2253-2264},
abstract={In this paper, we propose a novel technique for film grain noise removal and synthesis that can be adopted in high fidelity video coding. Film grain noise enhances the natural appearance of high fidelity video, therefore, it should be preserved. However, film grain noise is a burden to typical video compression systems because it has relatively large energy levels in the high frequency region. In order to improve the coding performance while preserving film grain noise, we propose film grain noise removal in the pre-processing step and film grain noise synthesis in the post processing step. In the pre-processing step, the film grain noise is removed by using temporal and inter-color correlations. Specifically, color image denoisng using inter color prediction provides good denoising performance in the noise-concentrated B plane, because film grain noise has inter-color correlation in the RGB domain. In the post-processing step, we present a noise model to generate noise that is close to the actual noise in terms of a couple of observed statistical properties, such as the inter-color correlation and power of the film grain noise. The results show that the coding gain of the denoised video is higher than for previous works, while the visual quality of the final reconstructed video is well preserved.},
keywords={},
doi={10.1587/transfun.E96.A.2253},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Enhanced Film Grain Noise Removal and Synthesis for High Fidelity Video Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2253
EP - 2264
AU - Inseong HWANG
AU - Jinwoo JEONG
AU - Sungjei KIM
AU - Jangwon CHOI
AU - Yoonsik CHOE
PY - 2013
DO - 10.1587/transfun.E96.A.2253
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2013
AB - In this paper, we propose a novel technique for film grain noise removal and synthesis that can be adopted in high fidelity video coding. Film grain noise enhances the natural appearance of high fidelity video, therefore, it should be preserved. However, film grain noise is a burden to typical video compression systems because it has relatively large energy levels in the high frequency region. In order to improve the coding performance while preserving film grain noise, we propose film grain noise removal in the pre-processing step and film grain noise synthesis in the post processing step. In the pre-processing step, the film grain noise is removed by using temporal and inter-color correlations. Specifically, color image denoisng using inter color prediction provides good denoising performance in the noise-concentrated B plane, because film grain noise has inter-color correlation in the RGB domain. In the post-processing step, we present a noise model to generate noise that is close to the actual noise in terms of a couple of observed statistical properties, such as the inter-color correlation and power of the film grain noise. The results show that the coding gain of the denoised video is higher than for previous works, while the visual quality of the final reconstructed video is well preserved.
ER -
English
