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Журнал
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ISSN: 2411-6467 (Print)
ISSN: 2413-9335 (Online)
Статьи, опубликованные в журнале, представляется читателям на условиях свободной лицензии CC BY-ND
ISSN: 2413-9335 (Online)
Статьи, опубликованные в журнале, представляется читателям на условиях свободной лицензии CC BY-ND
THE RESULTS OF THE PROBABILISTIC ASSESSMENT OF BLOCKING ARTIFACTS IN RASTER IMAGES (4-6)
Науки и перечень статей вошедших в журнал:
DOI:
Дата публикации статьи в журнале: 2018/05/2016
Название журнала: Евразийский Союз Ученых — публикация научных статей в ежемесячном научном журнале, Выпуск:
49, Том: 1,
Страницы в выпуске: 4-6
Автор:
M.A. Al-Askari
, National research Mordovian state University named after N. P. Ogaryov, Saransk
, National research Mordovian state University named after N. P. Ogaryov, Saransk
Анотация: Bitmap images can contain various types of artifacts. A compression artifact (or artifact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression. In the new era of information technology, the use of visual aids in teaching and learning process is inevitable. Image processing is an interesting field that studies about various processing techniques for digital images, which is the backbone of the emerging visual communication. Teaching the image processing has been a challenge since it requires imagination and creativity to some extent for the students to understand the concepts of image processing.
Ключевые слова:
and learning,
MATLAB,Graphical User Interface,blocking artifacts,RGB color model,proba- bilistic metric,
Данные для цитирования: M.A. Al-Askari . THE RESULTS OF THE PROBABILISTIC ASSESSMENT OF BLOCKING ARTIFACTS IN RASTER IMAGES (4-6) // Евразийский Союз Ученых — публикация научных статей в ежемесячном научном журнале.
Технические науки.
2018/05/2016;
49(1):4-6.
Список литературы: 1. Gonzalez, R. C., Woods, R. E., &Eddins, S. L. (2008). Digital image processing using MATLAB. Pearson Education India
2. H. R. Sheikh, Z. Wang, L. Cormack and A. C.Bovik, «LIVE Image Quality Assessment Database
Release 2», http://live.ece.utexas.edu/research/quality.
3. Hantao Liu 1 and Ingrid Heynderickx. A noreference perceptual blockiness metric // 12 May 2008 Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference onP. 866–867.
4. Al-Askari M. A., Fedosin S. A., Afonin V. V. Analysis of raster image quality / / Scientific and technical Bulletin of the Volga region. №1, 2018 – Kazan: scientific and technical Bulletin of the Volga region, 2018. P. 107–109.