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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/10.20385/1860-2037/9.2012.4

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Bibtex

@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"
}

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RIS

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  - 
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Wordbib

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<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>
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<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>
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ISI

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.
ER

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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>
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    <genre>academic journal</genre>
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      <detail type="volume">
        <number>9(2012)</number>
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      <detail type="issue">
        <number>4</number>
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      <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>
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