Mechanical properties and corrosion resistance of zirconium make this material suitable for
biomedical implants. Its good in vivo performance is mainly due to the presence of a …

This paper aims to explore the evolution of image denoising in a pedagological way. We
briefly review classical methods such as Fourier analysis and wavelet bases, highlighting …

Due to sparsity and multiresolution properties, Mutiscale transforms are gaining popularity in
the field of medical image denoising. This paper empirically evaluates different Mutiscale …

Background: Image denoising is one of the primary challenges in the field of image
processing. The objective is to derive the original image by suppressing noise from a noisy …

Shearlet is a new multidimensional and multiscale transform which is optimally efficient in
representing image containing edges. In this paper an adaptive shrinkage threshold for …

Scintigraphic images are generally affected by a Poisson type random noise which
diminishes qualitatively and quantitatively the images. Restoration techniques aim to “find” …

Image denoising, a significant research area in the field of medical image processing,
makes an effort to recover the original image from its noise corrupted image. The Pulse …

Perfect image registration is an unsolved challenge that has been attempted in a multitude
of different ways. This paper presents an approach for single-modal, multi-view registration …

This Scintigraphy represents a tool for exploring functional property shown in several
pathologies. Take the example of the ventriculair ejection fraction, the renal clearance and …

Image denoising is the detection and removal of outliers in a image. A measured analog
signal is affected by both the device from which the measurement is performed and the …