Abstract
Image compression is reducingsize of images in bytes of an imagewithout degrading the quality of pixelspresent in images to an unacceptable level. Whenever images are resized then it provides storage space to the other files. In this paper we have discussed a new approach for image compression, where multilayer wavelet is to be used, by using dual tree complex wavelet transform with multilayer that preserve the dominant brightness level and intensity of the targeted image in layers, which results in layered wavelet coefficients close to zero. The Thresholding also can modify the coefficients to produce more zeros which allow a higher compression ratio. The wavelet analysis needs addition support for compressing the data so Huffman coding is used along with wavelet analysis of an image in order to compress the data. Finally get the best result with higher psnr and compression ratio and minimum mse in the compared proposed.
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