Abstract
Fractal image coding encodes the input image with low bit rate and decodes the same with the reasonable quality of reconstruction. But, FIC has the demerit of longer time taken for encoding. In this paper, a fractal and SPIHT encoding of WBCT coefficients is proposed. Fast fractal encoding using particle swarm optimization (PSO) is applied to the low pass sub band of wavelet based contourlet transformed image and a modified set partitioning in hierarchical trees (SPIHT) coding is applied on the remaining coefficients. PSO technique and reduced domain pool size will speed up the fractal encoder, whereas the WBCT coefficients preserve the image quality in case of smooth contoured images. Furthermore, image details and wavelet progressive transmission characteristics are maintained. Experimental results prove that the proposed algorithm provides better quality of reconstruction with reduced bit rate.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
