An efficient post-processing adaptive filtering technique to rectifying the flickering effects.

Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts. This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rect...

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Autores principales:	Anudeep Gandam, Jagroop Singh Sidhu, Sahil Verma, N Z Jhanjhi, Anand Nayyar, Mohamed Abouhawwash, Yunyoung Nam
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/381a14a60445464b995aaf2cc3ace5c4
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id	oai:doaj.org-article:381a14a60445464b995aaf2cc3ace5c4
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spelling	oai:doaj.org-article:381a14a60445464b995aaf2cc3ace5c42021-12-02T20:11:23ZAn efficient post-processing adaptive filtering technique to rectifying the flickering effects.1932-620310.1371/journal.pone.0250959https://doaj.org/article/381a14a60445464b995aaf2cc3ace5c42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0250959https://doaj.org/toc/1932-6203Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts. This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rectify the problems of quantization error, ringing, blocking artifact, and flickering effect, which significantly degrade the visual quality of video frames. The PP-AFT method differentiates the blocked images or frames using activity function into different regions and developed adaptive filters as per the classified region. The designed process also introduces an adaptive flicker extraction and removal method and a 2-D filter to remove ringing effects in edge regions. The PP-AFT technique is implemented on various videos, and results are compared with different existing techniques using performance metrics like PSNR-B, MSSIM, and GBIM. Simulation results show significant improvement in the subjective quality of different video frames. The proposed method outperforms state-of-the-art de-blocking methods in terms of PSNR-B with average value lying between (0.7-1.9db) while (35.83-47.7%) reduced average GBIM keeping MSSIM values very close to the original sequence statistically 0.978.Anudeep GandamJagroop Singh SidhuSahil VermaN Z JhanjhiAnand NayyarMohamed AbouhawwashYunyoung NamPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0250959 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anudeep Gandam Jagroop Singh Sidhu Sahil Verma N Z Jhanjhi Anand Nayyar Mohamed Abouhawwash Yunyoung Nam An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
description	Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts. This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rectify the problems of quantization error, ringing, blocking artifact, and flickering effect, which significantly degrade the visual quality of video frames. The PP-AFT method differentiates the blocked images or frames using activity function into different regions and developed adaptive filters as per the classified region. The designed process also introduces an adaptive flicker extraction and removal method and a 2-D filter to remove ringing effects in edge regions. The PP-AFT technique is implemented on various videos, and results are compared with different existing techniques using performance metrics like PSNR-B, MSSIM, and GBIM. Simulation results show significant improvement in the subjective quality of different video frames. The proposed method outperforms state-of-the-art de-blocking methods in terms of PSNR-B with average value lying between (0.7-1.9db) while (35.83-47.7%) reduced average GBIM keeping MSSIM values very close to the original sequence statistically 0.978.
format	article
author	Anudeep Gandam Jagroop Singh Sidhu Sahil Verma N Z Jhanjhi Anand Nayyar Mohamed Abouhawwash Yunyoung Nam
author_facet	Anudeep Gandam Jagroop Singh Sidhu Sahil Verma N Z Jhanjhi Anand Nayyar Mohamed Abouhawwash Yunyoung Nam
author_sort	Anudeep Gandam
title	An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
title_short	An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
title_full	An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
title_fullStr	An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
title_full_unstemmed	An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
title_sort	efficient post-processing adaptive filtering technique to rectifying the flickering effects.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/381a14a60445464b995aaf2cc3ace5c4
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects.

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