Optical Disc Piracy Trade in Quiapo, Philippines (Follow me on Twitter@detect...Dr. Vivencio (Ven) Ballano
This presentation is based on a dissertation study on the persistence of optical piracy trade in Quiapo Barter Trade Center complex before its "closure".
Worldwide sea water desalination has been a very effective and economical way of producing potable water for drinking and industries. It is a myth that, sea water desalination is exorbitantly expensive. But the fact that it is affordable.
OBTAINING SUPER-RESOLUTION IMAGES BY COMBINING LOW-RESOLUTION IMAGES WITH HIG...ijcsit
In this paper, we propose a new algorithm to estimate a super-resolution image from a given low-resolution
image, by adding high-frequency information that is extracted from natural high-resolution images in the
training dataset. The selection of the high-frequency information from the training dataset is accomplished in
two steps, a nearest-neighbor search algorithm is used to select the closest images from the training dataset,
which can be implemented in the GPU, and a sparse-representation algorithm is used to estimate a weight
parameter to combine the high-frequency information of selected images. This simple but very powerful
super-resolution algorithm can produce state-of-the-art results. Qualitatively and quantitatively, we
demonstrate that the proposed algorithm outperforms existing state-of-the-art super-resolution algorithms.
Optical Disc Piracy Trade in Quiapo, Philippines (Follow me on Twitter@detect...Dr. Vivencio (Ven) Ballano
This presentation is based on a dissertation study on the persistence of optical piracy trade in Quiapo Barter Trade Center complex before its "closure".
Worldwide sea water desalination has been a very effective and economical way of producing potable water for drinking and industries. It is a myth that, sea water desalination is exorbitantly expensive. But the fact that it is affordable.
OBTAINING SUPER-RESOLUTION IMAGES BY COMBINING LOW-RESOLUTION IMAGES WITH HIG...ijcsit
In this paper, we propose a new algorithm to estimate a super-resolution image from a given low-resolution
image, by adding high-frequency information that is extracted from natural high-resolution images in the
training dataset. The selection of the high-frequency information from the training dataset is accomplished in
two steps, a nearest-neighbor search algorithm is used to select the closest images from the training dataset,
which can be implemented in the GPU, and a sparse-representation algorithm is used to estimate a weight
parameter to combine the high-frequency information of selected images. This simple but very powerful
super-resolution algorithm can produce state-of-the-art results. Qualitatively and quantitatively, we
demonstrate that the proposed algorithm outperforms existing state-of-the-art super-resolution algorithms.
1. Гостиница
• Я хочу открыть гостиницу
• Услуги/ продукты будут востребованы
туристов,гостей города
• Так как решит проблему поиска начлега
• Потребители получат мои товары/ услуги
спокойство,удобство,комфорт,качества,услуги
• Платно
Арман Оразбаев Қт-301 Бизнес и Права Mc_armashka9
5@mail.ru
Arman Orazbaev