This paper describes a novel approach to finger print matching using a new mathematical transform: the contourlet transform. Contourlet improves traditional wavelet based approaches by incorporating a directional component. It finds a direct discrete-space construction and is therefore computationally efficient. In this paper, 2-D spectrum is divided into fine slices using iterated directional ...

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 new coding technique based on contourlet transform and multistage vector quantization. Multiwavelet based Algorithms for image compression results in high compression ratios compared to other compression techniques. Multiwavelet have shown their ability in representing natural images that contain smooth areas separated with edges. However, wavelets cannot efficiently take ...

The evaluation of retinal images is widely used to help doctors diagnose many diseases, such as diabetes or hypertension. Due to the acquisition process, retinal images often have low grey level contrast and dynamic range. This problem may seriously affect the diagnostic procedure and its results. Here we present a new multi-scale method for retinal image contrast enhancement based on the Conto...

In image processing, efficiency term refers to the ability in capturing significant information that is sensitive to human visual system with small description. Natural images or scenes that contain intrinsic geometrical structures (contours) are key features of visual information. The existing transform methods like Fourier transformation, wavelets, curvelets, ridgelets etc., have limitations ...

Image denoising is a very important step in cryo-transmission electron microscopy (cryo-TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it addresses the problem of high noise in these images, that leads to a loss of the contained information. High noise levels contribute in particular to difficulties in the alignment required for 3D tomography reconstruction...

Reducing the acquisition time is important for clinical magnetic resonance imaging (MRI). Compressed sensing has recently emerged as a theoretical foundation for the reconstruction of magnetic resonance (MR) images from undersampled k-space measurements, assuming those images are sparse in a certain transform domain. However, most real-world signals are compressible rather than exactly sparse. ...

A tumor is abnormal tissue that develops by uncontrolled cell division. Regular cells develop in a controlled manner as new cells supplant old or harmed ones. For reasons not completely comprehended, tumor cells reproduce uncontrollably. To exact identification of size and area of brain tumor assumes an indispensable part in the diagnosis of tumors. Initially, wavelet and contourlet transforms ...

For a monocular 360° image, depth estimation is challenging because the distortion increases along latitude. To perceive distortion, existing methods devote to designing deep and complex network architecture. In this paper, we provide new perspective that constructs an interpretable sparse representation for image. Considering importance of geometric structure in estimation, utilize contourlet ...