The ability to automate the processing of digital portraits

Authors

  • Ирина Борисовна Чеботарева Kharkov National University of Radio Electronics, 61166, Kharkov, Lenin Avenue, 14, Ukraine
  • Вероника Владимировна Захарченко Kharkov National University of Radio Electronics, 61166, Kharkov, Lenin Avenue, 14, Ukraine

DOI:

https://doi.org/10.15587/2312-8372.2013.16233

Keywords:

retouching, portrait, automation, algorithms, defects, printing, photography, scanning, digital processing

Abstract

Nowadays, it is difficult to imagine a book, a magazine, an advertisement or a product cover without an illustration. Very often it is a photo, namely, a portrait. In order to reduce the processing time of such photos, this article defines the main defects, such as:

- color defects;

 - lack of sharpness, blurred motion;

 - lack of contrast;

 - lack of brightness.

 Thereafter, the sequences of action were developed for each defect, i.e. the algorithms which eliminate these disadvantages the most accurately. In conclusion, we put forward a method for automating each algorithm in order to accelerate retouching and selection of photographs.

The researches have shown that the automated portrait processing, in comparison with the manual one, requires 15 times less time consumption

Author Biography

Ирина Борисовна Чеботарева, Kharkov National University of Radio Electronics, 61166, Kharkov, Lenin Avenue, 14

Docent

Department of Technology and media systems

References

  1. Sharma, G. The Digital Color Imaging Handbook [Text] / G. Sharma. – New York: CRC Press, 2003. – 764 p.
  2. Chebotareva, I. Digital image quality evaluation adapted to structure of the open printing system [Text] / Irina Chebotareva, Natalia Gurieva // 15 International Conference on Printing, Design and Graphic Communications, Senj, 21st – 24th September 2011, Croatia. – 2011. – pp. 301-307.
  3. Фрэзер, Б. Управление цветом. Искусство допечатной подготовки : пер. с англ. / Б. Фрэзер, К. Мэрфи, Ф. Бантинг. – К.: ООО «ТИД «ДС», 2003. – 464 с.
  4. Шашлов, Б.А. Цвет и цветовоспроизведение / Б.А. Шашлов. – М.: МГУП, 2003. – 180 с.
  5. Margulis, D. Photoshop LAB Color: The Canyon Conundrum and Other Adventures in the Most Powerful Colorspace / D. Margulis. – CA: Peachpit Press Berkeley, 2005. – 384 p.
  6. Кузнецов, Ю.В. Технология обработки изобразительной информации [Text] / Ю. В. Кузнецов. – СПб.: Петербургский институт печати, 2002. – 244 с.
  7. Айсманн, К. Энциклопедия цифровой фотографии Кэтрин Айсманн. Ретуширование и восстановление фотографий [Текст] / К. Айсманн. – М: Вильямс, 2011. – 576 с.
  8. Кларк, М.Т. Фильтры для Photoshop 5. Спецэффекты и дизайн [Текст] / М.Т. Кларк. – М.: Диалектика, 1999. – 384 с.
  9. Пожарская, С. Фотомастер. Книга о фотографах и фотографии [Текст] / С. Пожарская. – М.: Пента, 2001. – 336 с.
  10. Артюхова, А.А. Способы автоматизации обработки цифровых оригиналов с дефектами [Текст] : матер. III заоч. науч.-практ. конф. с междунар. участием. Омск, 28-30 мая 2013 г. / науч. ред. С. Н. Литунов, отв. ред. И. А. Сысуев // Полиграфия: технология, оборудование, материалы. – Омск: Изд-во ОмГТУ, 2013. – 140 с.
  11. Sharma, G. (2003). The Digital Color Imaging Handbook, 764.
  12. Chebotareva, I., Gurieva, N. (2011). Digital image quality evaluation adapted to structure of the open printing system. 15 International Conference on Printing, Design and Graphic Communications, Senj, 21st, 301-307.
  13. Fraser, B. Murphy, C., Bunting, F. (2005). Real World Color Management, 384.
  14. Shashlov, B. (2003) Color and color reproduction,180.
  15. Margulis, D. (2005) Photoshop LAB Color: The Canyon Conundrum and Other Adventures in the Most Powerful Colorspace, 384.
  16. Kuznetsov, Y. (2002) The technology of processing image information, 244.
  17. Eismann, K. (2011) Encyclopedia of digital photography Kathryn Eismann. Retouch and restore the pictures, 576.
  18. Clarke, M. (1999) Filters for Photoshop 5. Special effects and design, 384.
  19. Pozharskaya, S. (2001) Photomasters. The book is about the photographers and photography, 336.
  20. Artyuhova, A. (2013) Methods for automating the processing of digital originals with defects. Technology, Machinery, Materials: Mater. III absentia. scientific and practical. Conf. with Intern. participation. Omsk, 28-30 May 2013,140.

Downloads

Published

2013-07-24

How to Cite

Чеботарева, И. Б., & Захарченко, В. В. (2013). The ability to automate the processing of digital portraits. Technology Audit and Production Reserves, 4(1(12), 11–15. https://doi.org/10.15587/2312-8372.2013.16233

Issue

Vol. 4 No. 1(12) (2013): Technology audit and production reserves

Section

Technology audit

License

Copyright (c) 2016 Ирина Борисовна Чеботарева, Вероника Владимировна Захарченко

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.