NDLI: Robust image transmission through wireless commuincation channels using unequal error protection based on adaptive image segmentation

Content Provider	IEEE Xplore Digital Library
Author	El-Khamy, S.E. Qabel, I.M.A.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Alexandria Univ., Alexandria (El-Khamy, S.E.; Qabel, I.M.A.)
Abstract	Reliable transmission of high quality images through wireless communication channels represents a great challenge, especially for real-time applications. From one aspect, it is necessary to achieve efficient compression that maintains the good image quality without increasing the transmission bandwidth. Secondly, wireless channels impairments such as fading and interference increase the probability of errors when the image data is transmitted. This necessitates the use of efficient channel coding to protect against channel errors. However channel coding results in increasing the transmitted bit rate, for real time applications. Again, this is constrained by the usually limited available transmission bandwidth. In this paper, this dilemma is solved by adopting new unequal error protection techniques that are used to achieve the above requirements by using image adaptive combined compression and error protection. This is achieved through image segmentation and adaptive compression and channel coding according to the importance of the image segments. Two proposed techniques are introduced. In the first suggested technique, the image is partitioned into equal blocks and the data classification is performed in the DCT domain. The DCT coefficients of the different blocks are classified to different classes of importance and hence they are given different rates of error protection and compression ratios. The second technique is based on adaptive image segmentation using quadtree decomposition into unequal segments before applying the DCT. Finally, to improve the quality of received images, the orientation adaptive sequential interpolation error-concealment technique is applied to the reconstructed images. Computer simulation shows that the proposed techniques achieve high degree of robustness against channel impairments with good image quality with acceptable data rates.
Starting Page	1
Ending Page	9
File Size	1885037
Page Count	9
File Format	PDF
ISBN	9789775031952
DOI	10.1109/NRSC.2008.4542336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-18
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Egypt Acad. of Sci. Res.
Subject Keyword	Robustness Image communication Error correction codes Image segmentation Image coding Channel coding Discrete cosine transforms Image quality Bandwidth Protection Orientation Adaptive Sequential Interpolation (OASI) Unequal Error Protection (UEP) Equal Error Protection (EEP) Discrete Cosine Transform (DCT)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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