In Image Compression, the researchers' aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete...
Background: Cell viability is one of the basic properties indicating the physiological state of the cell, thus, it has long been one of the major considerations in biotechnologica...
Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Natt...
We present a new family of compactly supported and symmetric biorthogonal wavelet systems, which extend and unify the Biorthogonal Coifman wavelet system. The refinement mask has ...
Hong Oh Kim, Rae Young Kim, Yeon Ju Lee, Jungho Yo...
This paper proposes a new texture classifier based on the Quaternionic Wavelet Transform (QWT). This recent transform separates the informations contained in the image better tha...
–—Wavelet expansions and wavelet transforms have proven to be very efficient and effective in analyzing a very wide class of signals and phenomena. Wavelet expansion allows a m...
This paper proposes an embedded rate scalable wavelet-based image coding algorithm. We introduce a simple and efficient approach for coding the positions and the signs of the wave...
Duplication of image regions is a common method for manipulating original images using typical software like Adobe Photoshop. In this study, we propose a wavelet based feature rep...
Abstract. The wavelet transform is a widely used pre-filtering step for subsequent R spike detection by thresholding of the coefficients. The time-frequency decomposition is indeed...
Gael de Lannoy, Arnaud de Decker, Michel Verleysen
The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many dispar...
Paul R. Hill, Cedric Nishan Canagarajah, David R. ...
—In all methods of image denoising, there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but ...