An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction

In the process of converting interlaced scanning to progressive scanning, interline flickers, saw-tooth, and creeping could be found in motion images. This paper proposes an interfield and intrafield weighted interpolative algorithm based on low-angle detection and multiangle extraction. Using inter...

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Main Authors: Jun Qiang, Jun Chen, Jun Wang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/972540
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spelling doaj-27b86703eee849ed95324d70ed92b3e52020-11-24T22:32:04ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/972540972540An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle ExtractionJun Qiang0Jun Chen1Jun Wang2School of Computer Information and Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaDepartment of Electrical Engineering, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu 241000, ChinaSchool of Computer Information and Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaIn the process of converting interlaced scanning to progressive scanning, interline flickers, saw-tooth, and creeping could be found in motion images. This paper proposes an interfield and intrafield weighted interpolative algorithm based on low-angle detection and multiangle extraction. Using interframe difference of vertical edge area in current field and interfield difference of other areas as the input of motion detection, incorrect judgment could be avoided by four-fields motion detection so that static and motive image can be distinguished. Based on the motion image from the motion detection, multipixels are used in low-angle horizontal detection to extract higher correction angles so as to make interfield and intrafield weighted interpolation. The experiment results show that the proposed algorithm could improve peak signal-to-noise ratio (PSNR), restrain some interlace phenomenon, and reach better visual effects. Meanwhile, there is a good balance between efficiency and computation cost.http://dx.doi.org/10.1155/2014/972540
collection DOAJ
language English
format Article
sources DOAJ
author Jun Qiang
Jun Chen
Jun Wang
spellingShingle Jun Qiang
Jun Chen
Jun Wang
An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
Mathematical Problems in Engineering
author_facet Jun Qiang
Jun Chen
Jun Wang
author_sort Jun Qiang
title An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
title_short An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
title_full An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
title_fullStr An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
title_full_unstemmed An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction
title_sort interfield and intrafield weighted interpolative deinterlacing algorithm based on low-angle detection and multiangle extraction
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description In the process of converting interlaced scanning to progressive scanning, interline flickers, saw-tooth, and creeping could be found in motion images. This paper proposes an interfield and intrafield weighted interpolative algorithm based on low-angle detection and multiangle extraction. Using interframe difference of vertical edge area in current field and interfield difference of other areas as the input of motion detection, incorrect judgment could be avoided by four-fields motion detection so that static and motive image can be distinguished. Based on the motion image from the motion detection, multipixels are used in low-angle horizontal detection to extract higher correction angles so as to make interfield and intrafield weighted interpolation. The experiment results show that the proposed algorithm could improve peak signal-to-noise ratio (PSNR), restrain some interlace phenomenon, and reach better visual effects. Meanwhile, there is a good balance between efficiency and computation cost.
url http://dx.doi.org/10.1155/2014/972540
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