A content adaptive method of de-blocking and super-resolution of compressed images
Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial do...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Amanjot [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 80(2021), 7 vom: 04. Jan., Seite 11095-11131 |
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| Übergeordnetes Werk: |
volume:80 ; year:2021 ; number:7 ; day:04 ; month:01 ; pages:11095-11131 |
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| DOI / URN: |
10.1007/s11042-020-10112-3 |
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| 520 | |a Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. | ||
| 650 | 4 | |a Image upscaling | |
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10.1007/s11042-020-10112-3 doi (DE-627)OLC2124592548 (DE-He213)s11042-020-10112-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Singh, Amanjot verfasserin aut A content adaptive method of de-blocking and super-resolution of compressed images 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. Image upscaling Image interpolation Image de-blocking Super resolution High resolution Low resolution Singh, Jagroop aut Enthalten in Multimedia tools and applications Springer US, 1995 80(2021), 7 vom: 04. Jan., Seite 11095-11131 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:80 year:2021 number:7 day:04 month:01 pages:11095-11131 https://doi.org/10.1007/s11042-020-10112-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 80 2021 7 04 01 11095-11131 |
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10.1007/s11042-020-10112-3 doi (DE-627)OLC2124592548 (DE-He213)s11042-020-10112-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Singh, Amanjot verfasserin aut A content adaptive method of de-blocking and super-resolution of compressed images 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. Image upscaling Image interpolation Image de-blocking Super resolution High resolution Low resolution Singh, Jagroop aut Enthalten in Multimedia tools and applications Springer US, 1995 80(2021), 7 vom: 04. Jan., Seite 11095-11131 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:80 year:2021 number:7 day:04 month:01 pages:11095-11131 https://doi.org/10.1007/s11042-020-10112-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 80 2021 7 04 01 11095-11131 |
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10.1007/s11042-020-10112-3 doi (DE-627)OLC2124592548 (DE-He213)s11042-020-10112-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Singh, Amanjot verfasserin aut A content adaptive method of de-blocking and super-resolution of compressed images 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2021 Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. Image upscaling Image interpolation Image de-blocking Super resolution High resolution Low resolution Singh, Jagroop aut Enthalten in Multimedia tools and applications Springer US, 1995 80(2021), 7 vom: 04. Jan., Seite 11095-11131 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:80 year:2021 number:7 day:04 month:01 pages:11095-11131 https://doi.org/10.1007/s11042-020-10112-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 80 2021 7 04 01 11095-11131 |
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Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. © Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. © Springer Science+Business Media, LLC, part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain the noise in the form of blocking artifacts. In this presented work, a spatial domain-based approach has been suggested with two roles, one of which is to process the image for reduction of compression-based blocking artifacts and other is to upscale the low-resolution image to high-resolution image. Image upscaling is one of the implementation techniques of image super-resolution (SR). It is a type of SR where only a single image-based SR is being implemented. In the proposed technique, image de-blocking along with interpolation based super resolution has been developed in the spatial domain, therefore it is a practical and realistic method. The results of the proposed method in the form of quality metrics like PSNR, MSE and MSSIM have been compared with other methods of interpolation along with de-blocking method. © Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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A content adaptive method of de-blocking and super-resolution of compressed images |
| url |
https://doi.org/10.1007/s11042-020-10112-3 |
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| author2 |
Singh, Jagroop |
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Singh, Jagroop |
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189064145 |
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| doi_str |
10.1007/s11042-020-10112-3 |
| up_date |
2024-07-04T00:30:20.501Z |
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1803606316025905152 |
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