Open AccessImplementation of Modified Signed Discrete Cosine Transform
Author(s) -
Ajit Kumar Patro,
Deepika Patnaik,
Sudhansu Sekhar Nayak
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h7407.078919
Subject(s) - discrete cosine transform , modified discrete cosine transform , transform coding , lapped transform , trellis quantization , sine , discrete sine transform , algorithm , trigonometric functions , mathematics , data compression , image (mathematics) , coding (social sciences) , computer science , image compression , artificial intelligence , image processing , mathematical analysis , geometry , fourier transform , fractional fourier transform , fourier analysis , statistics
One of the most important properties of Discrete Cosine Transform (DCT) is high power compaction, due to this property DCT is used for coding, image processing, image compression etc. The DCT application can be speed up by Signed Discrete Cosine Transforms (SDCT). The SDCT is the modification approximates of the DCT. In this paper by proposing signum function we proposed a flow diagram of algorithm and its architecture by considering 8 point transforms.