Hnativ L.O.
Integer cosine transforms for high-efficiency image and video coding

Matrix methods for constructing one-norm order-8 and -16 integer cosine transforms are considered. One-norm order-8 and -16 integer transforms are proposed and fast algorithms are developed that implement these transforms with a low computational complexity that is less by a factor of 3–5 than the complexity of well-known algorithms and is less by a factor of 10 than that in the H.265 standard. © 2016, Springer Science+Business Media New York.

Keywords: AVS, coding gain, compression ratio, computational complexity, discrete cosine transform, factorization, fast transform, H.264, H.265, HEVC, integer cosine transform, scaled transform, video coding, Codes (symbols), Compression ratio (machinery), Computational complexity, Discrete cosine transforms, Factorization, Image coding, Video signal processing, Coding gains, Fast Transform, H.264, H.265, HEVC, Integer cosine transform, Cosine transforms

Cite:
Hnativ L.O. (2016). Integer cosine transforms for high-efficiency image and video coding. Cybernetics and Systems Analysis, 52 (5), 161-176. doi: https://doi.org/10.1007/s10559-016-9881-7 http://jnas.nbuv.gov.ua/article/UJRN-0000553526 [In Russian].