Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm

Arti Tiwari; Kamanasish Bhattacharjee; Sushil Kumar; Millie Pant

doi:10.1007/978-981-10-5699-4_58

Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm

Arti Tiwari, Kamanasish Bhattacharjee, Sushil Kumar, Millie Pant

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper proposes the comparative analysis of accuracy and efficiency in patch-based texture synthesis among different color models and SSD (sum of squared distance) method. Here we have taken the basic texture quilting method of Efros and Freeman as a synthesizer for analysis. To find the “best-fit” patch for synthesizing the image, this paper shows these different color models and SSD method on randomly fetched patch. Finally comparison is done on these different methods to analyze the result and synthesized images have shown for better visualization.

Original language	English
Title of host publication	Soft Computing
Subtitle of host publication	Theories and Applications - Proceedings of SoCTA 2016
Editors	Millie Pant, Sanyog Rawat, Anirban Bandyopadhyay, Tarun K. Sharma, Kanad Ray
Publisher	Springer Verlag
Pages	617-623
Number of pages	7
ISBN (Print)	9789811056987
DOIs	https://doi.org/10.1007/978-981-10-5699-4_58
State	Published - 1 Jan 2018
Externally published	Yes
Event	1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016 - Jaipur, India Duration: 28 Dec 2016 → 30 Dec 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	584
ISSN (Print)	2194-5357

Conference

Conference	1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016
Country/Territory	India
City	Jaipur
Period	28/12/16 → 30/12/16

Keywords

Color models
Image quilting
Patch-based texture synthesis

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-10-5699-4_58

Cite this

Tiwari, A., Bhattacharjee, K., Kumar, S., & Pant, M. (2018). Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm. In M. Pant, S. Rawat, A. Bandyopadhyay, T. K. Sharma, & K. Ray (Eds.), Soft Computing: Theories and Applications - Proceedings of SoCTA 2016 (pp. 617-623). (Advances in Intelligent Systems and Computing; Vol. 584). Springer Verlag. https://doi.org/10.1007/978-981-10-5699-4_58

Tiwari, Arti ; Bhattacharjee, Kamanasish ; Kumar, Sushil et al. / Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm. Soft Computing: Theories and Applications - Proceedings of SoCTA 2016. editor / Millie Pant ; Sanyog Rawat ; Anirban Bandyopadhyay ; Tarun K. Sharma ; Kanad Ray. Springer Verlag, 2018. pp. 617-623 (Advances in Intelligent Systems and Computing).

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title = "Methods to choose the {\textquoteleft}best-fit{\textquoteright} patch in patch-based texture synthesis algorithm",

abstract = "This paper proposes the comparative analysis of accuracy and efficiency in patch-based texture synthesis among different color models and SSD (sum of squared distance) method. Here we have taken the basic texture quilting method of Efros and Freeman as a synthesizer for analysis. To find the “best-fit” patch for synthesizing the image, this paper shows these different color models and SSD method on randomly fetched patch. Finally comparison is done on these different methods to analyze the result and synthesized images have shown for better visualization.",

keywords = "Color models, Image quilting, Patch-based texture synthesis",

author = "Arti Tiwari and Kamanasish Bhattacharjee and Sushil Kumar and Millie Pant",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.; 1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016 ; Conference date: 28-12-2016 Through 30-12-2016",

year = "2018",

month = jan,

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doi = "10.1007/978-981-10-5699-4_58",

language = "English",

isbn = "9789811056987",

series = "Advances in Intelligent Systems and Computing",

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Tiwari, A, Bhattacharjee, K, Kumar, S & Pant, M 2018, Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm. in M Pant, S Rawat, A Bandyopadhyay, TK Sharma & K Ray (eds), Soft Computing: Theories and Applications - Proceedings of SoCTA 2016. Advances in Intelligent Systems and Computing, vol. 584, Springer Verlag, pp. 617-623, 1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016, Jaipur, India, 28/12/16. https://doi.org/10.1007/978-981-10-5699-4_58

Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm. / Tiwari, Arti; Bhattacharjee, Kamanasish; Kumar, Sushil et al.
Soft Computing: Theories and Applications - Proceedings of SoCTA 2016. ed. / Millie Pant; Sanyog Rawat; Anirban Bandyopadhyay; Tarun K. Sharma; Kanad Ray. Springer Verlag, 2018. p. 617-623 (Advances in Intelligent Systems and Computing; Vol. 584).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper proposes the comparative analysis of accuracy and efficiency in patch-based texture synthesis among different color models and SSD (sum of squared distance) method. Here we have taken the basic texture quilting method of Efros and Freeman as a synthesizer for analysis. To find the “best-fit” patch for synthesizing the image, this paper shows these different color models and SSD method on randomly fetched patch. Finally comparison is done on these different methods to analyze the result and synthesized images have shown for better visualization.

AB - This paper proposes the comparative analysis of accuracy and efficiency in patch-based texture synthesis among different color models and SSD (sum of squared distance) method. Here we have taken the basic texture quilting method of Efros and Freeman as a synthesizer for analysis. To find the “best-fit” patch for synthesizing the image, this paper shows these different color models and SSD method on randomly fetched patch. Finally comparison is done on these different methods to analyze the result and synthesized images have shown for better visualization.

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Tiwari A, Bhattacharjee K, Kumar S, Pant M. Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm. In Pant M, Rawat S, Bandyopadhyay A, Sharma TK, Ray K, editors, Soft Computing: Theories and Applications - Proceedings of SoCTA 2016. Springer Verlag. 2018. p. 617-623. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-10-5699-4_58

Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm

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Keywords

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