Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes

Dynamic weather elements such as rain cause complex visual appearance, because rain consists of spatially distributed drops falling at high velocities. The continuous movement in spatio-temporal depth causes the distraction in the motion in a video sequence. Each drop when falling in high speed will...

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Main Author:	Shariah, Sawsan Kamel
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Videotex systems Open rain screens
Online Access:	http://psasir.upm.edu.my/id/eprint/47531/1/FK%202012%2075R.pdf
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id	my-upm-ir.47531
record_format	uketd_dc
spelling	my-upm-ir.475312016-07-14T09:09:50Z Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes 2012-02 Shariah, Sawsan Kamel Dynamic weather elements such as rain cause complex visual appearance, because rain consists of spatially distributed drops falling at high velocities. The continuous movement in spatio-temporal depth causes the distraction in the motion in a video sequence. Each drop when falling in high speed will create a streak motion blurred illusion based on the background intensity that reflects the environment creating higher intensity pattern in an image. In this thesis rain streak have been captured and isolated from the background scene by using an embossed filter algorithm designed to highlight the transparent rain streaks that cause the blur and distortion of the video, while the removing algorithm is based on a simple algorithm that correlates spatio-temporal and depth of an image into one technique. The removing method was based on the filtration process applied on the divided image blocks in the spatio-temporal depth technique controlled by an automatic steerable on noise availability in the image. The filter algorithm is based on an enhanced harmonic mean filter algorithm. Different techniques were applied conducted with different kernel structure. The image was clustered into layers,separating the RGB layers from the rain in one of the filters. In another filter a nested kernel was designed with the applicability of the main filter process. In another approach the image components are divided into two space criteria, conducting it in two different spaces and rejoined together. The kernel coefficients were automatically been set based on the noise availability in the image. The results obtained were satisfying, where the algorithm were able to detect and remove the rain streaks without losing the aliveness of the scene. The techniques presented here can be used in a wide range of applications including video surveillance, vision based navigation, video editing and video indexing. Videotex systems Open rain screens 2012-02 Thesis http://psasir.upm.edu.my/id/eprint/47531/ http://psasir.upm.edu.my/id/eprint/47531/1/FK%202012%2075R.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Videotex systems Open rain screens
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Videotex systems Open rain screens
spellingShingle	Videotex systems Open rain screens Shariah, Sawsan Kamel Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
description	Dynamic weather elements such as rain cause complex visual appearance, because rain consists of spatially distributed drops falling at high velocities. The continuous movement in spatio-temporal depth causes the distraction in the motion in a video sequence. Each drop when falling in high speed will create a streak motion blurred illusion based on the background intensity that reflects the environment creating higher intensity pattern in an image. In this thesis rain streak have been captured and isolated from the background scene by using an embossed filter algorithm designed to highlight the transparent rain streaks that cause the blur and distortion of the video, while the removing algorithm is based on a simple algorithm that correlates spatio-temporal and depth of an image into one technique. The removing method was based on the filtration process applied on the divided image blocks in the spatio-temporal depth technique controlled by an automatic steerable on noise availability in the image. The filter algorithm is based on an enhanced harmonic mean filter algorithm. Different techniques were applied conducted with different kernel structure. The image was clustered into layers,separating the RGB layers from the rain in one of the filters. In another filter a nested kernel was designed with the applicability of the main filter process. In another approach the image components are divided into two space criteria, conducting it in two different spaces and rejoined together. The kernel coefficients were automatically been set based on the noise availability in the image. The results obtained were satisfying, where the algorithm were able to detect and remove the rain streaks without losing the aliveness of the scene. The techniques presented here can be used in a wide range of applications including video surveillance, vision based navigation, video editing and video indexing.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Shariah, Sawsan Kamel
author_facet	Shariah, Sawsan Kamel
author_sort	Shariah, Sawsan Kamel
title	Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
title_short	Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
title_full	Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
title_fullStr	Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
title_full_unstemmed	Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
title_sort	rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
granting_institution	Universiti Putra Malaysia
publishDate	2012
url	http://psasir.upm.edu.my/id/eprint/47531/1/FK%202012%2075R.pdf
_version_	1747811932776169472

Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes

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