Performance of VWM algorithm in the presence of impulse noise and resizing / B. Prlincevic, Z. Milivojevic, S. Panich

Уровень набора: International Journal of Reasoning-based Intelligent SystemsОсновной Автор-лицо: Prlincevic, B., BojanАльтернативный автор-лицо: Milivojevic, Z., Zoran;Panich, S., specialist in the field of informatics and computer technology, Researcher at Tomsk Polytechnic University, Ph.D, 1983-, StefanКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа информационных технологий и робототехники, Отделение информационных технологийЯзык: английский.Страна: .Резюме или реферат: The first part of this paper describes visible watermarking (VWM) algorithm for inserting and removing visible watermark in the image. The second part of this paper describes an experiment in which the image is watermarked with the VWM algorithm, impulse noise is added, and the image quality is improved with the MDB algorithm for filtering. Watermark is removed from noised and filtered image. Afterwards, an experiment is described in which resizing of the noised watermarked image is performed. Watermark is removed from this image. Finally, a comparative analysis of the results is performed in order to evaluate the efficiency of the applied algorithms. The comparison was performed on the basis of MSE and similarity. The obtained results are analysed in detail and presented in a tabular and graphical manner..Тематика: электронный ресурс | труды учёных ТПУ | visible watermark | VWM | impulsive noise | filtering | resizing | изменеие размера | видимый водяной знак | импульсный шум | фильтрация Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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The first part of this paper describes visible watermarking (VWM) algorithm for inserting and removing visible watermark in the image. The second part of this paper describes an experiment in which the image is watermarked with the VWM algorithm, impulse noise is added, and the image quality is improved with the MDB algorithm for filtering. Watermark is removed from noised and filtered image. Afterwards, an experiment is described in which resizing of the noised watermarked image is performed. Watermark is removed from this image. Finally, a comparative analysis of the results is performed in order to evaluate the efficiency of the applied algorithms. The comparison was performed on the basis of MSE and similarity. The obtained results are analysed in detail and presented in a tabular and graphical manner.

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