Improve Image Quality at Low Bitrate Using Wavelet Based Fractal Image Coder

In this paper we are going to implement the hybrid wavelet coder to improve the gray image quality at low bit rate, such type of compression provide high compression ratio at low bit rate that means it overcome the drawback of fractal image coding in spatial domain produces the artefact blocking effect this effect can be reduces by using fractal image coder in wavelet domain and also this coder provide high decoding time. Then compare the result of wavelet SPIHT algorithm and wavelet fractal image coder. Aim is to improve image quality at low bit rate and also reconstructed image based on the iteration method. Finally compare the result based on performance parameter this result got from the MATLAB. This paper presents a fractal image compression in wavelet domain based approach for the partitioning iteration function system (PIFS) and SPIHT algorithm. The objective to improved image quality with higher compression ratio and low bit rate achieved by the combination of wavelet image compression with SPIHT and fractal image compression . Proposed algorithms gives the comparison between the BPP, CR , MSE and PSNR. This method can also be used for binary (white and black) images analysis. One more problem was found in the wavelet transform i.e blocking artefact at low bit rate proposed algorithm easily solved this problem using wavelet based fractal compression .