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Utilizing Cross-Layer Information to Improve Performance in JPEG2000 Decoding
Author(s) -
Hannes Persson,
Anna Brunström,
T. Ottosson
Publication year - 2007
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.278
H-Index - 17
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2007/24758
Subject(s) - computer science , decoding methods , protocol stack , jpeg 2000 , physical layer , channel (broadcasting) , wireless , image quality , list decoding , transmission (telecommunications) , reliability (semiconductor) , focus (optics) , layer (electronics) , computer network , computer engineering , image (mathematics) , real time computing , algorithm , artificial intelligence , image compression , image processing , telecommunications , wireless sensor network , concatenated error correction code , optics , block code , power (physics) , quantum mechanics , physics , organic chemistry , chemistry
We focus on wireless multimedia communication and investigate how cross-layer information can be used to improve performance at the application layer, using JPEG2000 as an example. The cross-layer information is in the form of soft information from the physical layer. The soft information, which is supplied by a soft decision demodulator, yields reliability measures for the received bits and is fed into two soft input iterative JPEG2000 image decoders. When errors are detected with the error detecting mechanisms in JPEG2000, the decoders utilize the soft information to point out likely transmission errors. Hence, the decoders can correct errors and increase the image quality without making time-consuming retransmissions. We believe that the proposed decoding method utilizing soft information is suitable for a general IP-based network and that it keeps the principles of a layered structure of the protocol stack intact. Further, experimental results with images transmitted over a simulated wireless channel show that a simple decoding algorithm that utilizes soft information can give high gains in image quality compared to the standard hard-decision decoding

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