Seam elimination based on Curvelet for image stitching
Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet tran...
Ausführliche Beschreibung
Autor*in: |
Wang, Zhaobin [verfasserIn] Yang, Zekun [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Soft Computing - Springer-Verlag, 2003, 23(2018), 13 vom: 07. Apr., Seite 5065-5080 |
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Übergeordnetes Werk: |
volume:23 ; year:2018 ; number:13 ; day:07 ; month:04 ; pages:5065-5080 |
Links: |
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DOI / URN: |
10.1007/s00500-018-3175-0 |
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SPR006504183 |
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520 | |a Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. | ||
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10.1007/s00500-018-3175-0 doi (DE-627)SPR006504183 (SPR)s00500-018-3175-0-e DE-627 ger DE-627 rakwb eng Wang, Zhaobin verfasserin aut Seam elimination based on Curvelet for image stitching 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. Image stitching (dpeaa)DE-He213 Seam elimination (dpeaa)DE-He213 Curvelet (dpeaa)DE-He213 Yang, Zekun verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 23(2018), 13 vom: 07. Apr., Seite 5065-5080 (DE-627)SPR006469531 nnns volume:23 year:2018 number:13 day:07 month:04 pages:5065-5080 https://dx.doi.org/10.1007/s00500-018-3175-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 23 2018 13 07 04 5065-5080 |
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10.1007/s00500-018-3175-0 doi (DE-627)SPR006504183 (SPR)s00500-018-3175-0-e DE-627 ger DE-627 rakwb eng Wang, Zhaobin verfasserin aut Seam elimination based on Curvelet for image stitching 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. Image stitching (dpeaa)DE-He213 Seam elimination (dpeaa)DE-He213 Curvelet (dpeaa)DE-He213 Yang, Zekun verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 23(2018), 13 vom: 07. Apr., Seite 5065-5080 (DE-627)SPR006469531 nnns volume:23 year:2018 number:13 day:07 month:04 pages:5065-5080 https://dx.doi.org/10.1007/s00500-018-3175-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 23 2018 13 07 04 5065-5080 |
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10.1007/s00500-018-3175-0 doi (DE-627)SPR006504183 (SPR)s00500-018-3175-0-e DE-627 ger DE-627 rakwb eng Wang, Zhaobin verfasserin aut Seam elimination based on Curvelet for image stitching 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. Image stitching (dpeaa)DE-He213 Seam elimination (dpeaa)DE-He213 Curvelet (dpeaa)DE-He213 Yang, Zekun verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 23(2018), 13 vom: 07. Apr., Seite 5065-5080 (DE-627)SPR006469531 nnns volume:23 year:2018 number:13 day:07 month:04 pages:5065-5080 https://dx.doi.org/10.1007/s00500-018-3175-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 23 2018 13 07 04 5065-5080 |
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10.1007/s00500-018-3175-0 doi (DE-627)SPR006504183 (SPR)s00500-018-3175-0-e DE-627 ger DE-627 rakwb eng Wang, Zhaobin verfasserin aut Seam elimination based on Curvelet for image stitching 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. Image stitching (dpeaa)DE-He213 Seam elimination (dpeaa)DE-He213 Curvelet (dpeaa)DE-He213 Yang, Zekun verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 23(2018), 13 vom: 07. Apr., Seite 5065-5080 (DE-627)SPR006469531 nnns volume:23 year:2018 number:13 day:07 month:04 pages:5065-5080 https://dx.doi.org/10.1007/s00500-018-3175-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 23 2018 13 07 04 5065-5080 |
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10.1007/s00500-018-3175-0 doi (DE-627)SPR006504183 (SPR)s00500-018-3175-0-e DE-627 ger DE-627 rakwb eng Wang, Zhaobin verfasserin aut Seam elimination based on Curvelet for image stitching 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. Image stitching (dpeaa)DE-He213 Seam elimination (dpeaa)DE-He213 Curvelet (dpeaa)DE-He213 Yang, Zekun verfasserin aut Enthalten in Soft Computing Springer-Verlag, 2003 23(2018), 13 vom: 07. Apr., Seite 5065-5080 (DE-627)SPR006469531 nnns volume:23 year:2018 number:13 day:07 month:04 pages:5065-5080 https://dx.doi.org/10.1007/s00500-018-3175-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 23 2018 13 07 04 5065-5080 |
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Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. |
abstractGer |
Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. |
abstract_unstemmed |
Abstract Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way. |
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