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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-27b86703eee849ed95324d70ed92b3e5 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT junqiang aninterfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction AT junchen aninterfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction AT junwang aninterfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction AT junqiang interfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction AT junchen interfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction AT junwang interfieldandintrafieldweightedinterpolativedeinterlacingalgorithmbasedonlowangledetectionandmultiangleextraction |
_version_ |
1725735284753039360 |