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Still image compression using Curvelets and logarithmic scalar quantization technique

The remarkable development in the field of information technology and the diversity of multimedia applications in recent years imply the development of more efficient image compression techniques to improve the data transmission and storage capacity. The recent researches showed that classical wavelets are not able to exploit optimally the geometric regularities along the contours and edges of objects. We propose in this work, a new compression method based on geometric wavelets called Curvelets, associated with a logarithmic scalar quantization technique, to improve the compression performances compared to that of classical wavelets, in terms of image quality and compression rate (PSNR and CR). This method gave encouraging results with interesting perspectives.