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different transform at a different bit rate. Experiment results show that the proposed multi-layered image coding technique outperforms single curvelet transform with SPIHT in both PSNR and visual quality, with the improvement up to 0.71 dB on images with rich texture and edges. As per Jing Jin Renshu Gu Jie Yuan [2] It has been studied that the Image block effect is due to the quantification process using Discrete Cosine Transform (DCT) to compression coding, which dumps some frequency, and leads to noticeable discontinuous leaps. A deblocking algorithm based on curvelet transform is proposed in this paper. This algorithm processes the curvelet coefficients separately which obtained by curvelet transform of the degraded images to recovery the images. The coefficients corresponding to block effect of the original image can be found for every layer and different

Image Compression using Digital Curvelet Transform and HWT as MCA