2,259 research outputs found
Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding
This paper presents a novel reversible data hiding (RDH) algorithm for
gray-scaled images, in which the prediction-error of prediction error (PPE) of
a pixel is used to carry the secret data. In the proposed method, the pixels to
be embedded are firstly predicted with their neighboring pixels to obtain the
corresponding prediction errors (PEs). Then, by exploiting the PEs of the
neighboring pixels, the prediction of the PEs of the pixels can be determined.
And, a sorting technique based on the local complexity of a pixel is used to
collect the PPEs to generate an ordered PPE sequence so that, smaller PPEs will
be processed first for data embedding. By reversibly shifting the PPE histogram
(PPEH) with optimized parameters, the pixels corresponding to the altered PPEH
bins can be finally modified to carry the secret data. Experimental results
have implied that the proposed method can benefit from the prediction procedure
of the PEs, sorting technique as well as parameters selection, and therefore
outperform some state-of-the-art works in terms of payload-distortion
performance when applied to different images.Comment: There has no technical difference to previous versions, but rather
some minor word corrections. A 2-page summary of this paper was accepted by
ACM IH&MMSec'16 "Ongoing work session". My homepage: hzwu.github.i
Phase diagram and magnetic excitations of - Heisenberg model on the square lattice
We study the phase diagram and the dynamical spin structure factor of the
spin-1/2 J1-J3 Heisenberg model on the square lattice using density matrix
renormalization group, exact diagonalization (ED), and cluster perturbation
theory (CPT). By extrapolating the order parameters and studying the level
crossings of the low-lying energy and entanglement spectra, we obtain the phase
diagram of this model and identify a narrow region of quantum spin liquid (QSL)
phase followed by a plaquette valence-bond solid (PVBS) state in the
intermediate region, whose nature has been controversial for many years. More
importantly, we use CPT and ED to study the dynamical spin structure factor in
the QSL and the PVBS phase. In the QSL phase, the high-energy magnon mode
completely turns into some dispersive weak excitations around the X and M
points. For the PVBS phase, the low-energy spectrum is characterized by a
gapped triplet excitation, and at the high energy, we find another branch of
dispersive excitation with broad continua, which is unlike the plaquette phase
in the 2x2 checkerboard model. In the latter case, the second branch of
excitation is nearly flat due to the weak effective interactions between the
local excitations of the plaquettes. And in the J1-J3 Heisenberg model, the
uniform interactions and the spontaneously translational symmetry breaking of
the PVBS phase make the difference in the excitation spectra.Comment: 14 pages, 14 figure
1,8-Bis(4-fluorophenyl)naphthalene
In the title compound, C22H14F2, the two benzene rings are oriented with respect to the naphthalene ring system at 67.76 (8) and 67.50 (8)°, and the two benzene rings are twisted with respect to each other at 18.95 (10)°. Weak intermolecular C—H⋯π interactions are present in the crystal structure
Fuzzy automata system with application to target recognition based on image processing
AbstractIn order to get better image processing and target recognition, this paper presents a fuzzy automata system to target recognition. The system first performs image processing, and then accomplishes the target recognition. The system consists of four parts: image preprocessing, feature extraction, target matching and experiment. Compared with existing approaches, this paper uses both global features and local features of the target image, and carries out target recognition by using a fuzzy automata system. Simulation results show that the correct recognition rate based on the fuzzy automata system for target recognition is higher at 94.59%, an improvement on an average of 29.24%, compared to other existing approaches. Finally, some directions for future research are described
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