ABSTRACT 2D DWT can be extended to 3D an thus applied to video coding [1, 2, 3, 4, 5]. Such video codecs take advantage of both coding efficiency and scalability of the wavelet transform. Some promising new video coding methods are based on 3D subband coding with motion compensation [6, 7, 8, 9, 10]. These methods provide encouraging results comparatively to MPEG. However 3D subband coding of v...

This paper studies 2D and 3D wavelet domain medical image resolution enhancement method. The proposed approach is based on the interpolation of the low resolution input image and the derived high frequency sub-band images obtained using Discrete Wavelet Transform (DWT). Experimental results on both 2D and 3D images show how our method enhances the image’s details and preserves edges.

this paper presents a new coding method for image compression based on jpeg2000 and contourlet transform. jpeg2000 standard is a common standard that uses discrete wavelet transform (dwt) in the compression process. the main problems of dwt are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts rema...

In this paper, we propose an eÆcient geometry cmpression method well-adapted to densely sampled semiregular triangular meshes. Based on multiresolution analysis performed by wavelet transform, it includes a low complexity model-based bit allocation across wavelet subbands. The main contribution of this paper is the resolution of the sub-optimal bit allocation problem related to biorthogonal wav...

in this paper, we present an edge detection method based on wavelet transform and hessian matrix of image at each pixel. many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. in our scheme, we use wavelet transform to approximate hessian matrix of image at each pixel, too. ...

This paper presents a technique for compact three dimensional (3D) object model reconstruction using wavelet networks. It consists to transform an input surface vertices into signals,and uses wavelet network parameters for signal approximations. To prove this, we use a wavelet network architecture founded on several mother wavelet families. POLYnomials WindOwed with Gaussians (POLYWOG) wavelet ...

We present a novel depth and depth-color codec aimed at free-viewpoint 3D-TV. The proposed codec uses a shape-adaptive wavelet transform and an explicit encoding of the locations of major depth edges. Unlike the standard wavelet transform, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the bits required to represent the data. The wavel...

In this paper, a novel 3D face recognition scheme by Sliding Complex Wavelet Structural SIMilarity (SCW-SSIM) index carried out on detailed geometry images is proposed. First, the preprocessed 3D faces are mapped into geometry images on 2D plane. Then, a multi-scale wavelet transform is designed to decompose geometry image into a set of sub-images and denotes high-pass sub-images of wavelet tra...