R. Manduchi, G. M. Cortelazzo, and G. A. Mian, "Multistage Sampling Structure Conversion of Video Signals ", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 3, No. 5, October 1993 Home/Search Document Not in Database Summary Related Articles Check |
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Efficient Quantization for Overcomplete Expansions in R^N - Beferull-Lozano, Ortega (Correct)
....is given by MA. MA) T, and we have also that (A ) A [23] It is important to note that the sum of 2 lattices A and A 2 is not necessarily a lattice; for instance taking A = and A 2 = V, then their sum is not a lattice because the sum is not a discrete subgroup of ] It can be shown [30, 31] that if A and A 2 are contained in a certain full rank lattice A F, then A A 2 is a full rank lattice. Based on the previous definitions, the following important theorem from lattice theory allows us to calculate the intersection lattice A CSL of a set of lattices A, A r [27, 28] ....
R. Manduchi G. M. Cortelazzo and G. A. Mian, "Multistage sampling structure conversion of video signals," IEEE Trans. on Circ. and $yst. for Video Tech., vol. 3, no. 5, pp. 325-340, 1993.
First-order and multi-stage first-order image subsampling using.. - Dumitras (2000) (Correct)
....our method e ectively subsamples both high detail and smooth image areas, consistently outperforming traditional lowpass ltering and subsampling (LPFS) methods. 1 Introduction Image subsampling has a strong impact on performance and complexity in many image and video processing applications [1] [3]. Traditional methods for image subsampling are based on lowpass ltering followed by subsampling (LPFS) By lowpass ltering (LPF) the image, most of the high frequency information is permanently lost. Moreover, the LPF stage has generally high computational demands. To simultaneously minimize ....
R. Manduchi, G.M. Cortelazzo, and G.A. Mian, \Multistage sampling structure conversion of video signals," IEEE Trans. on Circuits and Systems for Video Technology, vol. 3, no. 5, pp. 325-340, Oct. 1990.
Fast and High Performance Image Subsampling Using.. - Dumitras, Kossentini (1997) (1 citation) (Correct)
.... feedforward neural network, pattern matching, training algorithm 1 Introduction Image subsampling is important in many applications, such as lossy compression [1, 2] subband and pyramidal image decomposition [3] sampling structure conversions of the video signal in digital television [4, 5], and video motion estimation and compensation by hierarchical search methods [2] Most of the existing subsampling methods are based on pixel neighborhood operations, such as the computation of a statistical measure of the local intensity values (e.g. the mean) within each image block. The ....
R. Manduchi, G.M. Cortelazzo, and G.A. Mian, "Multistage sampling structure conversion of video signals," IEEE Trans. on Circuits and Systems for Video Technology, vol. 3, no. 5, pp. 325--340, Oct. 1990.
Two-Dimensional IFIR Structures Using Generalized Factorizable.. - Manduchi (1994) (1 citation) Self-citation (Manduchi) (Correct)
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R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. IEEE Transactions on Circuits and Systems for Video Technology, 3(5):325--340, October 1993.
Improving the Accuracy of Differential-Based Optical Flow.. - Manduchi (1993) (1 citation) Self-citation (Manduchi) (Correct)
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R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. To appear on IEEE Transactions on Circuits and Systems for Video Technology, 1993.
Improving the Accuracy of Differential-Based Optical Flow.. - Manduchi (1994) (1 citation) Self-citation (Manduchi) (Correct)
No context found.
R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. To appear on IEEE Transactions on Circuits and Systems for VideoTechnology, 1993.
Two-Dimensional IFIR Structures Using Generalized Factorizable.. - Manduchi (1997) (1 citation) Self-citation (Manduchi) (Correct)
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R. Manduchi, G. M. Cortelazzo, and G. A. Mian, "Multistage sampling structure conversion of video signals," IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp. 325--340, Oct. 1993.
Some Properties of Generalized Factorable 2-D FIR Filters - Manduchi (1996) Self-citation (Manduchi) (Correct)
....of the 2 D step response of GF filters, exploiting the fact that they are designed combining two 1 D filters. 4. Frequency response constraints: if the filter to be designed is part of a sampling structure converter, it is useful to impose some nulling constraints on its frequency response [11] [12]. We show how such constraints can be translated into simple constraints on the 1 D filters used in the design of the GF filter. The paper is organized as follows. In Section 2 we report (together with the adopted nomenclature) a number of results of lattice theory. In particular, we introduce ....
....used extensively throughout the paper, together with the adopted nomenclature. Section 2.1.1 contains facts already known in the literature, which we report here in order to make the paper self contained. For their proofs, as well as for more details, the reader is addressed to [13] 14] 3] 15] [12], 16] Section 2.1.2 reports some novel results. 2.1.1 Background and Nomenclature R denotes the set of real numbers, Z is the set of integers. We denote vectors by small boldface letters and matrices by capital boldface letters. Their entries are named after the following example: a def = a 1 ....
[Article contains additional citation context not shown here]
R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. IEEE Trans. Circuits Syst. Video Techn., 3(5):325--340, October 1993.
Two-Dimensional IFIR Structures Using Generalized Factorizable.. - Manduchi (1996) (1 citation) Self-citation (Manduchi) (Correct)
....however, it is not clear how to find a multidimensional version of such a technique. The theory of multidimensional (M D) multistage sampling structure conversion has been first proposed by Ansari and Lee [1] and by Chen and Vaidyanathan [4] and then developed in some extent by Manduchi et al. [15]. Also in the multidimensional case, the theory of the multistage sampling structure conversion and of IFIR filters are equivalent, and we will deal only with IFIR filter hereinafter. While in [1] and in [4] the necessary conditions (in terms of sampling lattices and spectral support ....
....sampling structure conversion and of IFIR filters are equivalent, and we will deal only with IFIR filter hereinafter. While in [1] and in [4] the necessary conditions (in terms of sampling lattices and spectral support determination) for a multistage scheme IFIR structure are stated, and in [15] a simple design example is given, no serious attempt to produce efficient 2 D IFIR filters defined on a given sampling lattice has been proposed in the literature. 1.2 Problem Statement The purpose of this work is to provide a framework to design 2 D IFIR filters, for a certain class of ....
[Article contains additional citation context not shown here]
R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. IEEE Trans. Circuits Syst. Video Techn., 3(5):325--340, October 1993.
Improving the Accuracy of Differential-Based Optical Flow.. - Manduchi (1994) (1 citation) Self-citation (Manduchi) (Correct)
....is defined on lattice ORT . Its frequency response, within an elementary cell of 2 ORT , should approximate the indicator function of an elementary cell of 2 ALI , in order to get correct interpolation. Several design techniques have been studied in the television context [18] 19] [20]. The use of Nyquist filters is highly feasible, in terms of computational complexity, to the interpolation [20] in such a case, only the new samples (the ones on ORT = ALI ) are to be computed, the old ones being invariant. In the experimental tests of Section 4, we have adopted a Nyquist ....
....the indicator function of an elementary cell of 2 ALI , in order to get correct interpolation. Several design techniques have been studied in the television context [18] 19] 20] The use of Nyquist filters is highly feasible, in terms of computational complexity, to the interpolation [20]: in such a case, only the new samples (the ones on ORT = ALI ) are to be computed, the old ones being invariant. In the experimental tests of Section 4, we have adopted a Nyquist filter designed by means of the McClellan transform technique [18] which approximates, within P R ORT , the ....
R. Manduchi, G.M. Cortelazzo, and G.A. Mian. Multistage sampling structure conversion of video signals. To appear on IEEE Transactions on Circuits and Systems for Video Technology, 1993.
A Generalization of Multidimensional Synchronous Dataflow . . . - Murthy (1995) (Correct)
No context found.
R. Manduchi, G. M. Cortelazzo, and G. A. Mian, "Multistage Sampling Structure Conversion of Video Signals ", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 3, No. 5, October 1993
Multidimensional Synchronous Dataflow - Murthy, Lee (2002) (4 citations) (Correct)
No context found.
R. Manduchi, G. M. Cortelazzo, and G. A. Mian, "Multistage sampling structure conversion of video signals," IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp. 325--40, Oct. 1993.
Efficient Quantization for Overcomplete Expansions in R^N - Beferull-Lozano, Ortega (2003) (Correct)
No context found.
R. Manduchi, G. M. Cortelazzo, and G. A. Mian, "Multistage sampling structure conversion of video signals," IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp. 325--340, Oct. 1993.
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