In this paper, we present a new shape analysis approach using the well-known wavelet transform and exploring shape representation by landmarks. First, we describe the approach adopted to represent the landmarks data as parametric signals. Then, we show the relation of the derivatives of Gaussian wavelet transform applied to the signal-to-differential properties of the shape that it represents. ...

An adaptive wavelet transform algorithm for scal-able image coding is proposed in this paper. A quadtree segmentation scheme based on an entropy criterion is proposed to segment the image into several regions to allow for adaptive ltering using diierent types of prototype wavelet lters. A joint bit allocation and coding method is presented to eeciently code the segmented image in an embedding f...

In this paper, an object-based embedded image coding algorithm based on context classification and quadtree ordering in wavelet packet domain (OB-CCAQO) is proposed. To match up well with the quadtree-based embedded coder, a new cost function for the best basis selection is adopted in SA-DWPT (shape adaptive discrete wavelet packet transform). The significance probability of wavelet coefficient...

The Steganography is used for secure communication of information by embedding information in a cover object such as text, image, audio, video without any suspicion. An adaptive image steganography utilizing image denoising algorithm by wavelet thresholding. Adaptive steganography is a spatial case of both spatial and transform technique. Moreover it is introduced as statistics aware embedding ...

This paper presents adaptive edge detector using a novel directional wavelet transform. The proposed algorithm has two stages: a) directional wavelet transform and b) edge detection on space–scale– directional plane with maximum entropy measure. Preliminary results with synthetic images show that directional wavelet transforms gives excellent results. The proposed method was tested on synthetic...

We introduce a new locally adaptive wavelet transform, called Easy Path Wavelet Transform (EPWT), that works along pathways through the array of function values and exploits the local correlations of the data in a simple appropriate manner. The usual discrete orthogonal and biorthogonal wavelet transform can be formulated in this approach. The EPWT can be incorporated into a multiresolution ana...