Title :
Object Coding using a Shape Adaptive Wavelet Transform with Scalable WDR Method
Author :
Bindulal, T.S. ; Kaimal, M.R.
Author_Institution :
Kerala Univ., Kerala
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper, a shape adaptive wavelet transform coding scheme for arbitrarily shaped visual objects which is also scalable and progressive is proposed. The proposed scheme uses the shape adaptive wavelet transform (SA-DWT) of extracted objects for generating the wavelet coefficients and the wavelet difference method (SWDR) for progressive scalable coding and decoding. The method is developed for the limited bandwidth network where the image quality and data compression are most important. The experiments are performed on the MRI medical images, and video sequence images. The simulation results show that the proposed scheme is slightly better at all bit rates, in PSNR values compared to the other scalable coding schemes like SPIHT etc. Thus, the proposed coding scheme gives a convenient and better object coding scheme with applications in the multimedia image compression and transmission scenario.
Keywords :
adaptive codes; data compression; image coding; image sequences; transform coding; wavelet transforms; MRI medical images; data compression; image quality; multimedia image compression; object coding; scalable coding; shape adaptive wavelet transform coding; video sequence images; wavelet coefficients; wavelet difference; Bandwidth; Data compression; Data mining; Decoding; Image coding; Image quality; Shape; Transform coding; Wavelet coefficients; Wavelet transforms; WDR method; object coding; scalable image transmission; shape adaptive discrete wavelet transform;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379158