Silicone rubber foam was prepared through crosslinking with electron beam irradiation and foaming by the decomposing of blowing agent azobisformamide (AC) in hot air. The crosslinking and foaming of silicone rubber was carried out separately, which was different from the conventional method of chemical crosslinking and foaming. After foaming, the silicone rubber foam was irradiated again to stabilize the foam structure and further improve its mechanical properties. The effects of irradiation dose before and after foaming, and the amount of blowing agents on the structure and properties of silicone rubber foam were studied. The experimental results show that with the increase of AC content, the average cell diameter of silicone rubber foam increases a little, the foam density decreases to a minimum value when AC content is 10 phr. With the increase of irradiation dose before foaming from 10 to 17.5 kGy, the cell nucleation density of silicone rubber foam increases, the average cell diameter decreases, and the foam density increases. With the increase of irradiation before foaming, the tensile strength, tensile modulus, and the elongation at break of the silicone rubber foam increase. Through irradiation crosslinking again after foaming, the foam density is decreased and the mechanical properties of silicone foam are further improved.

No abstract

In recent years, quantum image processing is one of the most active fields in quantum computation and quantum information. Image scaling as a kind of image geometric transformation has been widely studied and applied in the classical image processing, however, the quantum version of which does not exist. This paper is concerned with the feasibility of the classical bilinear interpolation based on novel enhanced quantum image representation (NEQR). Firstly, the feasibility of the bilinear interpolation for NEQR is proven. Then the concrete quantum circuits of the bilinear interpolation including scaling up and scaling down for NEQR are given by using the multiply Control-Not operation, special adding one operation, the reverse parallel adder, parallel subtractor, multiplier and division operations. Finally, the complexity analysis of the quantum network circuit based on the basic quantum gates is deduced. Simulation result shows that the scaled-up image using bilinear interpolation is clearer and less distorted than nearest interpolation.

No abstract

No abstract

No abstract

No abstract

With the rapid development of multimedia technology, the image scrambling for information hiding and digital watermarking is crucial. But, in quantum image processing field, the study on image scrambling is still few. Several quantum image scrambling schemes are basically position space scrambling strategies; however, the quantum image scrambling focused on the color space does not exist. Therefore, in this paper, the quantum image Gray-code and bit-plane (GB) scrambling scheme, an entire color space scrambling strategy, is proposed boldly. On the strength of a quantum image representation NEQR, several different quantum scrambling methods using GB knowledge are designed. Not only can they change the histogram distribution of the image dramatically, some designed schemes can almost make the image histogram flush, enhance the anti-attack ability of digital image, but also their cost or complexity is very low. The simulation experiments result also shows a good performance and indicates the particular advantage of GB scrambling in quantum image processing field.