Improving the print quality of screenshots

S. M. Mikheev; I. V. Kurilin; A. M. Vil’kin; M. N. Rychagov; Ho Keun Lee; Sang Ho Kim; Don Chul Choi

doi:10.1134/S1054661815040173

Improving the print quality of screenshots

S. M. Mikheev, I. V. Kurilin, A. M. Vil’kin, M. N. Rychagov, Ho Keun Lee, Sang Ho Kim, Don Chul Choi

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This article considers a method of improving print quality for screenshots. The proposed method is based on detecting and vectorizing text areas on raster images. The main study is dedicated to smooth screen-text segmentation, determining background and text color, improving resolution, and recovering the contour of symbols and approximating them with Bezier curves. The proposed method is resistant to different colors, text sizes, and languages and makes it possible to obtain a sharp and correct text display for printing.

Original language	English
Pages (from-to)	674-684
Number of pages	11
Journal	Pattern Recognition and Image Analysis
Volume	25
Issue number	4
DOIs	https://doi.org/10.1134/S1054661815040173
State	Published - Oct 1 2015
Externally published	Yes

Keywords

antialiasing
print quality
text segmentation
text vectorization

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10.1134/S1054661815040173

Cite this

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title = "Improving the print quality of screenshots",

abstract = "This article considers a method of improving print quality for screenshots. The proposed method is based on detecting and vectorizing text areas on raster images. The main study is dedicated to smooth screen-text segmentation, determining background and text color, improving resolution, and recovering the contour of symbols and approximating them with Bezier curves. The proposed method is resistant to different colors, text sizes, and languages and makes it possible to obtain a sharp and correct text display for printing.",

keywords = "antialiasing, print quality, text segmentation, text vectorization",

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AU - Kurilin, I. V.

AU - Vil’kin, A. M.

AU - Rychagov, M. N.

AU - Lee, Ho Keun

AU - Kim, Sang Ho

AU - Choi, Don Chul

PY - 2015/10/1

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N2 - This article considers a method of improving print quality for screenshots. The proposed method is based on detecting and vectorizing text areas on raster images. The main study is dedicated to smooth screen-text segmentation, determining background and text color, improving resolution, and recovering the contour of symbols and approximating them with Bezier curves. The proposed method is resistant to different colors, text sizes, and languages and makes it possible to obtain a sharp and correct text display for printing.

AB - This article considers a method of improving print quality for screenshots. The proposed method is based on detecting and vectorizing text areas on raster images. The main study is dedicated to smooth screen-text segmentation, determining background and text color, improving resolution, and recovering the contour of symbols and approximating them with Bezier curves. The proposed method is resistant to different colors, text sizes, and languages and makes it possible to obtain a sharp and correct text display for printing.

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KW - print quality

KW - text segmentation

KW - text vectorization

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JF - Pattern Recognition and Image Analysis

IS - 4

ER -

Improving the print quality of screenshots

Abstract

Keywords

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