The block-matching and 3-D filtering (BM3D) algorithm is currently one of the most powerful and effective image denoising procedures. It exploits a specific nonlocal image modelling through grouping and collaborative filtering. Grouping finds mutually similar 2-D image blocks and stacks them together in 3-D arrays. Collaborative filtering produces individual estimates of all grouped blocks by f...

In this work, we describe a frequency domain technique for the estimation of multiple superimposed motions in an image sequence. The least-squares optimum approach involves the computation of the three-dimensional (3-D) Fourier transform of the sequence, followed by the detection of one or more planes in this domain with high energy concentration. We present a more efficient algorithm, based on...

We propose an image denoising method that exploits both nonlocal image modeling and locally adaptive anisotropic estimation. The method uses grouping of adaptive-shape neighborhoods whose surrounding square supersets have been found similar by a blockmatching procedure. The data deÞned on these grouped neighborhoods is stacked together, resulting in 3-D data structures which are generalized cyl...

In this paper, we apply the previously proposed continuous distance transform neural network (CDTNN) to represent 3-D endocardial (inner) and epicardial (outer) contours and quantitatively estimate the motion of left ventricles of human hearts from ultrasound images acquired using transesophageal echo-cardiography. This CDTNN has many good properties as the conventional distance transforms, whi...

Abstract—3-D wavelet video coding technique provides an elegant solution to the multimedia transmission scalability requirement. It uses motion-compensated temporal filtering (MCTF) for temporal decomposition and 2-D discrete wavelet transform (2-D DWT) for spatial decomposition. MCTF decomposes video frames into temporal high-pass residuals and temporal low-pass residuals. The temporal high-pa...

In this paper, based on the 3-dimensional discrete cosine transform(DCT) for removing the temporal correlation, an adaptive 3-D transform coding technique is proposed. Because of the nonstationary nature of the image data, the energy distribution in a 3-D DCT block varies along the vertical, horizontal and temporal directions. Thus, adaptive schemes, such as the 3-D classiication, the classiied...

Internet has connected different parts of the world through a network link. Researchers in bioinformatics and biology have always wanted to share information for the progress of their research. But the data, they wanted to transfer are large-scale data sets which cannot be transferred over the existing network link in a considerable amount of time. Hence, methods to compress these large volumes...

We carry out low bit-rate compression of multispectral images by means of the Said and Pearlman’s SPIHT algorithm, suitably modified to take into account the interband dependencies. Two techniques are proposed: in the first, a three-dimensional (3-D) transform is taken (wavelet in the spatial domain, Karhunen–Loeve in the spectral domain) and a simple 3-D SPIHT is used; in the second, after tak...

Radiological images are gradually more being used in healthcare and medical research. There is, accordingly, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. In this paper we formulate feature registration problems by using F-transform (Fuzzy-Transform) to extract the salient edges and extracted control points (CP) of med...