Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images

Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of dis...

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Main Author:	Ali Hussein Aboali, Maged Yahya
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/23294/1/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf http://eprints.utem.edu.my/id/eprint/23294/2/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf
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id	my-utem-ep.23294
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abd Manap, Nurulfajar
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ali Hussein Aboali, Maged Yahya Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
description	Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ali Hussein Aboali, Maged Yahya
author_facet	Ali Hussein Aboali, Maged Yahya
author_sort	Ali Hussein Aboali, Maged Yahya
title	Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
title_short	Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
title_full	Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
title_fullStr	Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
title_full_unstemmed	Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
title_sort	enhanced image view synthesis using multistage hybrid median filter for stereo images
granting_institution	UTeM
granting_department	Faculty Of Electronic And Computer Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23294/1/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf http://eprints.utem.edu.my/id/eprint/23294/2/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf
_version_	1747834029475889152
spelling	my-utem-ep.232942022-02-16T16:32:13Z Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images 2018 Ali Hussein Aboali, Maged Yahya T Technology (General) TA Engineering (General). Civil engineering (General) Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms. 2018 Thesis http://eprints.utem.edu.my/id/eprint/23294/ http://eprints.utem.edu.my/id/eprint/23294/1/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf text en public http://eprints.utem.edu.my/id/eprint/23294/2/Enhanced%20Image%20View%20Synthesis%20Using%20Multistage%20Hybrid%20Median%20Filter%20For%20Stereo%20Images.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112726 mphil masters UTeM Faculty Of Electronic And Computer Engineering Abd Manap, Nurulfajar 1. 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