Title :
Video decompression technology in information and communication technologies
Author :
Ryabukha, Yu. ; Krivonos, Vladimir ; Hahanova, Anna
Author_Institution :
Kozhedub Kharkiv Air Force Univ., Kharkiv, Ukraine
Abstract :
It is proposed to introduce new methods of video data compression for more efficient use of wireless technology. Therefore, we propose the method of reconstructing digital static images based on the restoration of transforms. There is a technology of renovating values of vector of significant subbands of the nonuniform DCT spectrum on a known code and base; the vector of scaling components based on the decoding of the first zero series and Bodo codes; low-frequency DC component using a statistical code. The decompression method proposed allows restoring an image without making the information loss for a given confidence level.
Keywords :
discrete cosine transforms; image reconstruction; image restoration; statistical analysis; video coding; digital static image reconstruction; first zero series; information and communication technologies; nonuniform DCT spectrum; scaling components; statistical code; transform restoration; video data compression; video decompression technology; wireless technology; Data compression; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; Vectors;
Conference_Titel :
Design & Test Symposium (EWDTS), 2014 East-West
Conference_Location :
Kiev
DOI :
10.1109/EWDTS.2014.7027106