Curvelet Transform Based Embedded Lossy Image Compression

Curvelet transform is one of the recently developed multiscale transform, which possess directional features and provides optimally sparse representation of objects with edges. In this paper an algorithm for lossy image compression based on the second generation digital curvelet transform is proposed. The results are compared with the results obtained from wavelet based image compression methods. Compression ratio and PSNR are selected as the performance metrics, and it is shown that curvelet transform require fewer coefficients than wavelet transform to represent an image faithfully.