Advanced Digital Image Compression Technique Using Curvelet Transform

نویسندگان

  • D. Vishnuvardhan
  • I. Suneetha
چکیده

In real time applications Image Compression plays a major role in storage memory and transmission bandwidth. As many compression methods are existing, selection of compression methods depends upon the quality in image reconstruction. Two popular compression methods are Wavelet and Ridgelet methods. Wavelet method has affected by the blocking artifacts and Ridgelet is designed to handle only line and edge singularities. This paper proposes a compression method using curvelet transform. The Curvelet Transform overcomes the drawbacks of above two methods and also has improvement in PSNR because of adaptive threshold.

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تاریخ انتشار 2013