DocumentCode
2533230
Title
Error resilient technique for SPIHT coded color images
Author
Khan, Mohd Ayyub ; Khan, Ekram
Author_Institution
Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India
fYear
2009
fDate
14-16 March 2009
Firstpage
237
Lastpage
240
Abstract
The Set Partitioning in Hierarchical Trees (SPIHT) based color image coder, commonly referred as Color SPIHT (CSPIHT) are developed to quantize and encode wavelet coefficients and have excellent rate distortion characteristic in the noise free environments. However in presence of noise they are extremely sensitive to the bit errors. It was observed that bits have different degree of vulnerability of errors. The error in some of the bits (critical bits) causes the severe degradation while errors in other bits (non-critical bits) have negligible effect in the reconstructed images. In this paper, we propose an unequal error protection (UEP) scheme, in which within each bits plane, the bits are reorganized according to their sensitivity of errors and then critical bits are protected unequally using Rate Compatible Puncturing Convolutional (RCPC) codes. The protection is reduced for higher bit-planes, by changing the puncturing rate. The simulation results show an improvement of 5-15 dB in the quality of reproduced images, as compared to the equal error protection (EEP) and unprotected CSPIHT bit-stream.
Keywords
channel coding; convolutional codes; error statistics; image colour analysis; wavelet transforms; SPIHT coded color images; channel coding; error resilient technique; noisy channels; rate compatible puncturing convolutional codes; rate distortion characteristic; set partitioning in hierarchical trees; unequal error protection; wavelet coefficients; Color; Colored noise; Convolutional codes; Degradation; Error correction codes; Image reconstruction; Protection; Rate-distortion; Wavelet coefficients; Working environment noise; Channel Coding; Image Coding; Noisy Channels; RCPC Codes; SPIHT; Unequal Error Protection; Wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
Conference_Location
Aligarh
Print_ISBN
978-1-4244-3602-6
Electronic_ISBN
978-1-4244-3604-0
Type
conf
DOI
10.1109/MSPCT.2009.5164219
Filename
5164219
Link To Document