Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ahmet Gurhanli"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9273-9283 (2022)
Steganography has made significant advances in the Square-pixel-based Image Processing (SIP) domain, but to our knowledge, no work has yet been done in Hexel (Hexagonal Pixel)-based Image Processing (HIP). This paper presents a HIP-domain data hiding
Externí odkaz:
https://doaj.org/article/64e126571d434c7d9d6613d10dfb4dd7
Publikováno v:
IET Image Processing, Vol 13, Iss 7, Pp 1097-1104 (2019)
This paper proposes a novel high‐performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors that significantly affect the
Externí odkaz:
https://doaj.org/article/de228bafbb15482b9db335c3e324de36
Autor:
Ahmet Gurhanli, 楊承燁
99
Fine grain methods for parallelization of the H.264 decoder have good latency perfor- mance and less memory usage. However, they could not reach the scalability of coarse grain approaches although assuming a well-designed entropy decoder whic
Fine grain methods for parallelization of the H.264 decoder have good latency perfor- mance and less memory usage. However, they could not reach the scalability of coarse grain approaches although assuming a well-designed entropy decoder whic
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/44218202954300390971
