Multiple Description Based on Fractal
Author(s) -
Jie Yang
Publication year - 2015
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2015.p0474
Subject(s) - computer science , multiple description coding , redundancy (engineering) , encoder , fractal , algorithm , coding (social sciences) , theoretical computer science , network packet , data mining , artificial intelligence , decoding methods , mathematics , mathematical analysis , computer network , statistics , operating system
In this paper, I design and develop a multiple description (MD) method which is based on fractal image coding procedure. In the encoder of MD, the IFS generated mappings are separated into different parts and encoded into different descriptions so that, on each description, a subset of these mappings can be involved. Meanwhile, a desired amount of redundancy is inserted into each description such that a satisfactory reconstruction quality will be ensured. In MD decoder, the redundancy and the mappings in one description are exploited to recover the missed mappings in the other description when only one description is received. Compared with the referenced methods, the the proposed MD coder can achieve better and more robust performance under various packet loss ratio circumstance.
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