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pro vyhledávání: '"vector quantization(VQ)"'
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Akademický článek
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Publikováno v:
IJAIT (International Journal of Applied Information Technology), Vol 2, Iss 01, Pp 29-42 (2018)
Historically, the study of Qur'an in Indonesia evolved along with the spread of Islam. Learning methods of reading the Qur'an have been found ranging from al-Baghdadi, al-Barqi, Qiraati, Iqro', Human, Tartila, and others, which can make it easier to
Externí odkaz:
https://doaj.org/article/c1c43459b0eb4dce8528bd81126af2e3
Autor:
Raheleh Ghadami, Javed Rahebi
Publikováno v:
Soft Computing.
Image compression is one of the most attractive and practical topics. Without image compression, the image size becomes too large for storage. The transmission of uncompressing images on computer networks slows down and network bandwidth is wasted. V
Publikováno v:
IJAIT (International Journal of Applied Information Technology), Vol 2, Iss 01, Pp 29-42 (2018)
Historically, the study of Qur'an in Indonesia evolved along with the spread of Islam. Learning methods of reading the Qur'an have been found ranging from al-Baghdadi, al-Barqi, Qiraati, Iqro', Human, Tartila, and others, which can make it easier to
Autor:
et al. Verma
Publikováno v:
International Journal of ADVANCED AND APPLIED SCIENCES. 5:73-78
Autor:
Kiung Park
Publikováno v:
DCC
In this paper, a new block-transform-based image compression scheme is proposed by combining vector quantization (VQ) and two transformations, discrete cosine transform (DCT) and vector-embedded Karhunen-Loeve transform (VEKLT). First, 8×8 blocks fr
Autor:
Wang, Runfeng1,2 (AUTHOR), Song, Dan1 (AUTHOR) dansong@jmu.edu.cn, Ren, Jinkai2 (AUTHOR), Wang, Lin2 (AUTHOR), Xu, Zhiping3 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Dec2024, Vol. 12 Issue 23, p3798. 20p.
Autor:
Lin, Yijie1 (AUTHOR) p1263670@o365.fcu.edu.tw, Liu, Jui-Chuan1 (AUTHOR) p1200318@o365.fcu.edu.tw, Chang, Ching-Chun2 (AUTHOR) ccc@fcu.edu.tw, Chang, Chin-Chen1 (AUTHOR) p1200318@o365.fcu.edu.tw
Publikováno v:
Symmetry (20738994). Nov2024, Vol. 16 Issue 11, p1419. 17p.
Autor:
Aditya Bakshi, Akhil Gupta, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Fayez Alqahtani, Amr Tolba, Maria Simona Raboaca
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2364 (2023)
For constructing the best local codebook for image compression, there are many Vector Quantization (VQ) procedures, but the simplest VQ procedure is the Linde–Buzo–Gray (LBG) procedure. Techniques such as the Gaussian Dissemination Function (GDF)
Externí odkaz:
https://doaj.org/article/bf6ff61e3715436a8adabc915b031ccf