Considering human visual system and characteristics of images, a novel image fusion strategy is presented for panchromatic high resolution image and multispectral image in non-subsampled contourlet transform (NSCT) domain. The NSCT can give an asymptotic optimal representation of edges and contours in image by virtue of its characteristics of good multiresolution, shiftinvariance, and high dire...

A Contourlet transform, an expansion of a wavelet transform, is a double filter bank structure composed of Laplacian Pyramid and directional filter banks. Several wavelet filters of preferable performance have been developed for wavelet transforms, e.g. CDF (Cohen, Daubechies and Feauveau) 9/7 filter. However, there is still only a limited number of wavelet filters applicable for Contourlet tra...

⎯A novel and efficient speckle noise reduction algorithm based on Bayesian contourlet shrinkage using contourlet transform is proposed. First, we show the sub-band decompositions of SAR images using contourlet transforms, which provides sparse representation at both spatial and directional resolutions. Then, a Bayesian contourlet shrinkage factor is applied to the decomposed data to estimate th...

To suppress the Pseudo-Gibbs phenomena caused by the Contourlet, the Nonsubsampled Pyramids Filter Banks and the Nonsubsampled Directional Filter Banks are combined to construct the nonsubsampled Contourlet transform (NSCT). Hence, The NSCT not only possess the main features of multi-scale, multi-directional and timefrequency localization, but also offer the property of the shift-invariant whic...

Human iris recognition is one of the prominent type of biometric identification system. Iris recognition systems use texture modeling for the segmentation and classification of iris images. Texture modeling is an active research field and different techniques have been exhaustively studied for this purpose, including wavelet transform. However, due to the limited capability for capturing direct...

A novel method of Synthetic Aperture Radar (SAR) image despeckling using the contourlet transform representation is presented. Justification for the use of the contourlet signal representation, originally developed for natural images, is given. Methods of evaluating the despeckling performance of various algorithms are provided. Finally, a comparison of performance of multilook processing, wave...

Breast cancer is one of the most important causes of increased women death rate in the world. Mammography is the most efficient approach for the early identification of breast diseases. The major objective of mammography is to identify small, non-palpable cancers during its premature stage. On the other hand, mammograms are extremely complicated to interpret being the fact that the pathological...

This paper presents a parallel implementation of color image segmentation algorithm using multiresolution technique. The idea is to achieve the complete and significant objects in the image using contourlet transform based image segmentation and to explore current multi-core architectures present in commercial processors in order to speed up the segmentation process for large size images. The a...

Image fusion aims to enhance the perception of a scene by combining important information captured by different sensors. Dual-Tree Complex Wavelet (DT-CWT) has been thouroughly investigated for image fusion, since it takes advantages of approximate shift invariance and direction selectivity. But it can only handle limited direction information. To allow a more flexible directional expansion for...

Image fusion is the process of combining relevant information from two or more images into a single fused image. The resulting image will be more informative than any of the input images. The fusion in medical images is necessary for efficient diseases diagnosis from multimodality, multidimensional and multi parameter type of images. This paper describes a multimodality medical image fusion sys...