DocumentCode :
604892
Title :
Adaptive fractal intra-frame video coding technique using parallel GPU environment
Author :
Kulkarni, M.V. ; Kulkarni, D.B.
Author_Institution :
Jawaharlal Nehru Technol. Univ., Hyderabad, India
fYear :
2013
fDate :
1-2 March 2013
Firstpage :
56
Lastpage :
61
Abstract :
Due to the increase in the usage of computers and internet, the demand for higher transmission speed and lower storage is increasing as well. This leads to the necessity fo r video compression. Image encoding is framed upon the fractal coding method. This method is based on the assumption that image redundancy can be efficiently explored through self-block transformability. It has shown good results in producing resolution independent, high-fidelity images. The decoding process, which has low complexity, also suggests use in real time applications. The high encoding time has unfortunately produced discouraging results. In this paper, a new approach is depicted where a comparison of range blocks with the domain pool is implemented using a parallel approach.
Keywords :
Internet; data compression; graphics processing units; video coding; Internet; adaptive fractal intra-frame video coding technique; fractal coding method; higher transmission speed; image encoding; image redundancy; lower storage; parallel GPU environment; self-block transformability; video compression; Decoding; Distortion measurement; Fractals; Graphics processing units; Image coding; Transforms; Video compression; Domain; Fractal; GPU-Graphics Processing Unit; Range;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
Conference_Location :
Gujarat
Print_ISBN :
978-1-4799-0316-0
Type :
conf
DOI :
10.1109/ISSP.2013.6526874
Filename :
6526874
Link To Document :
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