In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome limitations irregularly sampled data, this paper proposes a method combining smoothing fast iterative soft threshold algorithm (SFISTA) curvelet transform; uses domain as sparse domain. For comparison, contourlet transform is used for different domains, shrinkage-thresholding (FIS...

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Iris recognition system for identity authentication and verification is one of the most precise and accepted biometrics in the world. Portable iris system mostly used in law enforcement applications, has been increasing more rapidly. The portable device, however, requires a narrow-bandwidth communication channel to transmit iris code or iris image. Though a full resolution of iris image is pref...

The continuous curvelet and shearlet transforms have recently been shown to be much more effective than the traditional wavelet transform in dealing with the set of discontinuities of functions and distributions. In particular, the continuous shearlet transform has the ability to provide a very precise geometrical characterization of general discontinuity curves occurring in images. In this pap...

The purpose of this study was to develop a methodology for assessing fruit quality objectively using texture analysis based on Curvelet Transform. Being a multiresolution approach, curvelets have the capability to examine fruit surface at low and high resolution to extract both global and local details about fruit surface. The fruit images were acquired using a CCD color camera and guava and le...

Image transformation provide deep meaning about images feature, so many type of image are appear in the last decade years, one them is curvelet which improve processing techniques specially field feature extraction. Personal authentication adopt biometric information to be major coefficients this field.
 Palm print main approaches for personal identification. So studying moments extracted ...

Image retrieval is the important technique in image processing. The paper presents the robust object recognition using texture and directional feature extraction. The system proposes texture descriptors such as fast discrete Curvelet transform based entropy feature and local directional pattern. The category recognition is to classify an object into one of several predefined categories. The Fas...