TY - JOUR
T1 - Recovery of Corrupted DCT Coded Images Based on Reference Information
AU - Bingabr, Mohamed
AU - Varshney, Pramod K.
N1 - Funding Information:
Manuscript received December 1, 2001; revised November 3, 2003. This work was supported by the National Science Foundation under Grant ECS-9901361. This paper was recommended by Associate Editor D. W. Lin. The authors are with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244 USA (e-mail: [email protected]; [email protected]). Digital Object Identifier 10.1109/TCSVT.2004.825545
PY - 2004/4
Y1 - 2004/4
N2 - This paper presents a novel error detection and correction methodology for corrupted discrete cosine transform (DCT) coefficients caused by the transmission of DCT coded images over a noisy wireless channel. This method is based on the properties of DCTs and the transmission of exact intensity values of a few reference pixels. These allow us to identify the error pattern and correct the corrupted DCT coefficients. It is possible for the receiver to correct up to t corrupted DCT coefficients in an image block with the knowledge of 2t + 1 reference pixel intensity values for each image block. When the number of corrupted DCT coefficients exceeds the correction capability of the proposed algorithm, concealment techniques are employed to recover the corrupted image block by using the reference pixel intensity values. Simulation results are presented to demonstrate the performance of our algorithm.
AB - This paper presents a novel error detection and correction methodology for corrupted discrete cosine transform (DCT) coefficients caused by the transmission of DCT coded images over a noisy wireless channel. This method is based on the properties of DCTs and the transmission of exact intensity values of a few reference pixels. These allow us to identify the error pattern and correct the corrupted DCT coefficients. It is possible for the receiver to correct up to t corrupted DCT coefficients in an image block with the knowledge of 2t + 1 reference pixel intensity values for each image block. When the number of corrupted DCT coefficients exceeds the correction capability of the proposed algorithm, concealment techniques are employed to recover the corrupted image block by using the reference pixel intensity values. Simulation results are presented to demonstrate the performance of our algorithm.
KW - Discrete cosine transform (DCT)
KW - Image coding
KW - Image transmission
KW - Multimedia communications
KW - Recovery of corrupted images
KW - Wireless communication
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U2 - 10.1109/TCSVT.2004.825545
DO - 10.1109/TCSVT.2004.825545
M3 - Article
AN - SCOPUS:2042505687
SN - 1051-8215
VL - 14
SP - 441
EP - 449
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 4
ER -