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        Image focus volume regularization for shape from focus through 3D weighted least squares

        Ali, Usman,Pruks, Vitalii,Mahmood, Muhammad Tariq Elsevier science 2019 Information sciences Vol.489 No.-

        <P><B>Abstract</B></P> <P>In shape from focus (SFF) methods, the accuracy of the depth map highly depends on the quality of image focus volume. Generally, a linear filtering or averaging using a 2D mask is applied on each slice of the focus volume to filter out the noisy focus measures. This approach may not provide optimal results due to the inherent problems associated with linear filtering. In this paper, the image focus volume is regularized by applying 3D weighted least squares (3D-WLS) approach that enhances the volume to better reconstruct the 3D shape. The weights for the regularization have been computed from the image sequence, and here image sequence acts like a structural prior and guidance volume. Such kind of guided filtering of focus volume has not been carried out earlier. 3D-WLS optimization problem has been solved in an efficient separable manner, such that the solution has been approximated by solving a sequence of 1D linear sub-problems. Sequentially for each dimension, a tridiagonal matrix is used to solve the three-point inhomogeneous Laplacian matrix. Experiments conducted on real and synthetic image sequences demonstrate the effectiveness of the proposed method.</P>

      • KCI등재

        Downlink Macro-diversity Precoding-aided Spatial Modulation

        Manar Mohaisen,Vitalii Pruks 한국통신학회 2018 Journal of communications and networks Vol.20 No.1

        In this paper, a downlink macro-diversity precodingaidedspatial modulation (MD-PSM) scheme is proposed, in whichtwo base stations (BSs) communicate simultaneously with a singlemobile station (MS). As such, the proposed scheme achieved twicethe spectral efficiency of the conventional PSM scheme. To renderthe demodulation possible, the two signal constellation sets used atthe two BSs should be disjoint. Also, since the two BSs use the samespatial dimension, i.e., indices of receive antennas, the Minkowskisum of the two constellation sets should include unrepeated symbols. This is achieved through rotating the constellation set usedby the second BS, where the error rate is also minimized. Afterobtaining the optimal rotation angles for several scenarios, a reducedcomplexity maximum-likelihood receiver is introduced. Foran equal number of transmit and receive antennas of 4 and at a targetbit error rate (BER) of 10 4, the simulation results show thatthe proposed MD-PSM scheme outperforms the conventional PSMby about 17.3 dB and 12.4 dB while achieving the same and doublethe spectral efficiency, respectively. Also, due to the distributed natureof MD-PSM, it is shown that the diversity order of the novelMD-PSM scheme is twice that of the conventional PSM.

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