1,287 research outputs found

    Copyright Protection of Color Imaging Using Robust-Encoded Watermarking

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    In this paper we present a robust-encoded watermarking method applied to color images for copyright protection, which presents robustness against several geometric and signal processing distortions. Trade-off between payload, robustness and imperceptibility is a very important aspect which has to be considered when a watermark algorithm is designed. In our proposed scheme, previously to be embedded into the image, the watermark signal is encoded using a convolutional encoder, which can perform forward error correction achieving better robustness performance. Then, the embedding process is carried out through the discrete cosine transform domain (DCT) of an image using the image normalization technique to accomplish robustness against geometric and signal processing distortions. The embedded watermark coded bits are extracted and decoded using the Viterbi algorithm. In order to determine the presence or absence of the watermark into the image we compute the bit error rate (BER) between the recovered and the original watermark data sequence. The quality of the watermarked image is measured using the well-known indices: Peak Signal to Noise Ratio (PSNR), Visual Information Fidelity (VIF) and Structural Similarity Index (SSIM). The color difference between the watermarked and original images is obtained by using the Normalized Color Difference (NCD) measure. The experimental results show that the proposed method provides good performance in terms of imperceptibility and robustness. The comparison among the proposed and previously reported methods based on different techniques is also provided

    Source Selection for Cluster Weak Lensing Measurements in the Hyper Suprime-Cam Survey

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    We present optimized source galaxy selection schemes for measuring cluster weak lensing (WL) mass profiles unaffected by cluster member dilution from the Subaru Hyper Suprime-Cam Strategic Survey Program (HSC-SSP). The ongoing HSC-SSP survey will uncover thousands of galaxy clusters to zâ‰Č1.5z\lesssim1.5. In deriving cluster masses via WL, a critical source of systematics is contamination and dilution of the lensing signal by cluster {members, and by foreground galaxies whose photometric redshifts are biased}. Using the first-year CAMIRA catalog of ∌\sim900 clusters with richness larger than 20 found in ∌\sim140 deg2^2 of HSC-SSP data, we devise and compare several source selection methods, including selection in color-color space (CC-cut), and selection of robust photometric redshifts by applying constraints on their cumulative probability distribution function (PDF; P-cut). We examine the dependence of the contamination on the chosen limits adopted for each method. Using the proper limits, these methods give mass profiles with minimal dilution in agreement with one another. We find that not adopting either the CC-cut or P-cut methods results in an underestimation of the total cluster mass (13±4%13\pm4\%) and the concentration of the profile (24±11%24\pm11\%). The level of cluster contamination can reach as high as ∌10%\sim10\% at R≈0.24R\approx 0.24 Mpc/hh for low-z clusters without cuts, while employing either the P-cut or CC-cut results in cluster contamination consistent with zero to within the 0.5% uncertainties. Our robust methods yield a ∌60σ\sim60\sigma detection of the stacked CAMIRA surface mass density profile, with a mean mass of M200c=(1.67±0.05(stat))×1014 M⊙/hM_\mathrm{200c} = (1.67\pm0.05({\rm {stat}}))\times 10^{14}\,M_\odot/h.Comment: 19 pages, 4 tables, 12 figures, accepted to PASJ special issu

    Atomic masses of intermediate-mass neutron-deficient nuclei with relative uncertainty down to 35-ppb via multireflection time-of-flight mass spectrograph

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    High-precision mass measurements of 63^{63}Cu, 64−66^{64-66}Zn, 65^{65}Ga, 65−67^{65-67}Ge, 67^{67}As, 78,81^{78,81}Br, 80^{80}Rb, and 79^{79}Sr were performed utilizing a multireflection time-of-flight mass spectrograph combined with the gas-filled recoil ion separator GARIS-II. In the case of 65^{65}Ga, a mass uncertainty of 2.1 keV, corresponding to a relative precision of ήm/m=3.5×10−8\delta m / m = 3.5\times10^{-8}, was obtained and the mass value is in excellent agreement with the 2016 Atomic Mass Evaluation. For 67^{67}Ge and 81^{81}Br, where masses were previously deduced through indirect measurements, discrepancies with literature values were found. The feasibility of using this device for mass measurements of nuclides more neutron-deficient side, which have significant impact on the rprp-process pathway, is discussed.Comment: 15 pages, 6 figures, 1 tabl

    Ab-initio Green's Functions Calculations of Atoms

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    The Faddeev random phase approximation (FRPA) method is applied to calculate the ground state and ionization energies of simple atoms. First ionization energies agree with the experiment at the level of ~10 mH or less. Calculations with similar accuracy are expected to provide information required for developing the proposed quasiparticle-DFT method.Comment: Proceedings of 'The 6th Japan-Italy symposium on Heavy Ion Physics', Mito, Japan, Nov. 200

    Spin Dynamics near the Superconductor-to-Insulator Transition in Impurity-Doped YBa2Cu4O8

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    We studied low-frequency spin dynamics near the impurity-induced superconductor-to-insulator transition for underdoped high-Tc superconductor YBa2(Cu1-xMx)4O8 (M=Ni, Zn) using the Cu nuclear quadrupole resonance (NQR) spin-echo technique. We observed remarkable suppression of the normal-state pseudo spin-gap and a loss of Cu NQR spectrum intensity at low temperatures around the critical impurity concentration.Comment: 6 pages, 4 figures. To be published in J. Phys. Soc. Jpn. Vol.70, No.7 (2001
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