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 ...

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...

This paper presents a novel technique of image Enhancement which can be widely used in medical and biological imaging to improve the image quality. The principle objective of enhancement is to process an image so that the result is more suitable than the original image for a specific application. Image enhancement enhances weak edges or weak features in an image while keeping strong edges or fe...

Aiming at solving the fusion problem of multifocus, a novel image fusion algorithm is presented in this paper. Firstly, the multiwavelet is combined with the direction filter bank (DFB) to construct the proposed MDFB transform to overcome defect of the contourlet transform. Secondly, the source multifocus images are decomposed into lowpass coefficients and highpass coefficients. Thirdly, the lo...

The aim of this study is to propose a suitable and reliable system for better diagnosis and treatment of carotid diseases. In this study, Computer Aided Diagnosis (CAD) system has been proposed for classifying carotid artery plaques using Contourlet features. Carotid images have been acquired for 124 subjects with symptoms (Amaurosis Fugax, Stroke or Transient Ischemic Attack) and 133 subjects ...