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Colin Doutre, and Panos Nasiopoulos, Sharpness Matching in Stereo Images. JVRB - Journal of Virtual Reality and Broadcasting, 9(2012), no. 4. (urn:nbn:de:0009-6-32907)
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%0 Journal Article %T Sharpness Matching in Stereo Images %A Doutre, Colin %A Nasiopoulos, Panos %J JVRB - Journal of Virtual Reality and Broadcasting %D 2013 %V 9(2012) %N 4 %@ 1860-2037 %F doutre2013 %X When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other. %L 004 %K Blurring %K Depth Estimation %K Discrete Cosine Transform (DCT) %K Sharpness %K Stereo Images %R 10.20385/1860-2037/9.2012.4 %U http://nbn-resolving.de/urn:nbn:de:0009-6-32907 %U http://dx.doi.org/10.20385/1860-2037/9.2012.4Download
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@Article{doutre2013, author = "Doutre, Colin and Nasiopoulos, Panos", title = "Sharpness Matching in Stereo Images", journal = "JVRB - Journal of Virtual Reality and Broadcasting", year = "2013", volume = "9(2012)", number = "4", keywords = "Blurring; Depth Estimation; Discrete Cosine Transform (DCT); Sharpness; Stereo Images", abstract = "When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other.", issn = "1860-2037", doi = "10.20385/1860-2037/9.2012.4", url = "http://nbn-resolving.de/urn:nbn:de:0009-6-32907" }Download
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TY - JOUR AU - Doutre, Colin AU - Nasiopoulos, Panos PY - 2013 DA - 2013// TI - Sharpness Matching in Stereo Images JO - JVRB - Journal of Virtual Reality and Broadcasting VL - 9(2012) IS - 4 KW - Blurring KW - Depth Estimation KW - Discrete Cosine Transform (DCT) KW - Sharpness KW - Stereo Images AB - When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other. SN - 1860-2037 UR - http://nbn-resolving.de/urn:nbn:de:0009-6-32907 DO - 10.20385/1860-2037/9.2012.4 ID - doutre2013 ER -Download
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<?xml version="1.0" encoding="UTF-8"?> <b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" > <b:Source> <b:Tag>doutre2013</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2013</b:Year> <b:PeriodicalTitle>JVRB - Journal of Virtual Reality and Broadcasting</b:PeriodicalTitle> <b:Volume>9(2012)</b:Volume> <b:Issue>4</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-6-32907</b:Url> <b:Url>http://dx.doi.org/10.20385/1860-2037/9.2012.4</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Doutre</b:Last><b:First>Colin</b:First></b:Person> <b:Person><b:Last>Nasiopoulos</b:Last><b:First>Panos</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>Sharpness Matching in Stereo Images</b:Title> <b:Comments>When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other.</b:Comments> </b:Source> </b:Sources>Download
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PT Journal AU Doutre, C Nasiopoulos, P TI Sharpness Matching in Stereo Images SO JVRB - Journal of Virtual Reality and Broadcasting PY 2013 VL 9(2012) IS 4 DI 10.20385/1860-2037/9.2012.4 DE Blurring; Depth Estimation; Discrete Cosine Transform (DCT); Sharpness; Stereo Images AB When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other. ERDownload
Mods
<mods> <titleInfo> <title>Sharpness Matching in Stereo Images</title> </titleInfo> <name type="personal"> <namePart type="family">Doutre</namePart> <namePart type="given">Colin</namePart> </name> <name type="personal"> <namePart type="family">Nasiopoulos</namePart> <namePart type="given">Panos</namePart> </name> <abstract>When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other.</abstract> <subject> <topic>Blurring</topic> <topic>Depth Estimation</topic> <topic>Discrete Cosine Transform (DCT)</topic> <topic>Sharpness</topic> <topic>Stereo Images</topic> </subject> <classification authority="ddc">004</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>JVRB - Journal of Virtual Reality and Broadcasting</title> </titleInfo> <part> <detail type="volume"> <number>9(2012)</number> </detail> <detail type="issue"> <number>4</number> </detail> <date>2013</date> </part> </relatedItem> <identifier type="issn">1860-2037</identifier> <identifier type="urn">urn:nbn:de:0009-6-32907</identifier> <identifier type="doi">10.20385/1860-2037/9.2012.4</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-32907</identifier> <identifier type="citekey">doutre2013</identifier> </mods>Download
Full Metadata
Bibliographic Citation | JVRB, 9(2012), no. 4. |
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Title |
Sharpness Matching in Stereo Images (eng) |
Author | Colin Doutre, Panos Nasiopoulos |
Language | eng |
Abstract | When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other. |
Subject | Blurring, Depth Estimation, Discrete Cosine Transform (DCT), Sharpness, Stereo Images |
Classified Subjects |
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DDC | 004 |
Rights | DPPL |
URN: | urn:nbn:de:0009-6-32907 |
DOI | https://doi.org/10.20385/1860-2037/9.2012.4 |