DocumentCode
2778802
Title
A visual base image coding using unequal error protection in high error rate channels
Author
Shahhosseini, Saeid ; Hosseini, S. Abolfazl
Author_Institution
Shahr-e-Rey Branch, Dept. of Commun. & Electr. Eng., Islamic Azad Univ., Shahr-e-Rey, Iran
fYear
2010
fDate
5-8 Dec. 2010
Firstpage
537
Lastpage
542
Abstract
Reliable transmission of high quality images over noisy channels represents a great challenge. In this paper, we propose an unequal error protection (UEP) scheme for image transmission over noisy channels based on the bit error sensitivity of different bit planes. Since these bit planes have different orders, transmission errors visually have different effects on the image. So, if we allocate more parity bits to the higher order bit planes, a receiver with UEP capability can recover the higher order bit planes more correctly than the lower order ones. Our proposed scheme employs the simple repetition codes, and we present it in two parts of error correction, and a combination of error detection and correction. We represent both schemes by computing error probability, risk factor, and peak signal-to-noise ratio (PSNR). Simulation results show that our proposed scheme increases the visual quality of the image up to almost 1.4 dB in terms of PSNR relatively to that of equal error protection.
Keywords
error correction; error statistics; image coding; bit error sensitivity; bit planes; error correction; error probability computation; high error rate channels; image transmission; noisy channels; peak signal-to-noise ratio; risk factor; unequal error protection scheme; visual base image coding; Error analysis; Error correction; Error correction codes; Error probability; Image communication; Mathematical model; PSNR; Bit plane; Image coding; Risk factor; Simulation; Unequal Error Protection; Visual Communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-9054-7
Type
conf
DOI
10.1109/ICCAIE.2010.5735139
Filename
5735139
Link To Document