Abstract: The present invention provides a method for measuring a content of a polycyclic aromatic hydrocarbon in a carbon black, comprising the following steps: extracting a carbon black to be measured using an organic solvent to obtain a sample to be tested; testing the sample to be tested by ultraviolet-visible spectrometer to obtain an absorbance; and using the absorbance and a calibration curve to obtain a content of a polycyclic aromatic hydrocarbon in the sample to be tested, wherein the calibration curve shows relationship between the absorbance of the polycyclic aromatic hydrocarbon and the content of the polycyclic aromatic hydrocarbon. The measurement method of the present invention benefits reduction of detection time.

Abstract: An image processing method comprises obtaining a current frame and a previous frame, performing a bilateral motion estimation to the current frame and the previous frame for acquiring a motion vector, and performing a motion compensated interpolation to the current frame, the previous frame and the motion vector for acquiring an interpolated frame. The bilateral motion estimation uses sum of bilateral absolute difference algorithm to generate at least one sum of bilateral absolute difference, and then an adaptive parameter is added to each of the sum of bilateral absolute difference to generate at least one adaptive sum of bilateral absolute difference. A group of matching blocks having a minimum adaptive sum of bilateral absolute difference is then determined to be the group of best matching blocks. The motion vector is obtained according to the relative locations of the best matching blocks.

Abstract: An image processing method comprises obtaining a current frame and a previous frame, performing a bilateral motion estimation to the current frame and the previous frame for acquiring a motion vector, and performing a motion compensated interpolation to the current frame, the previous frame and the motion vector for acquiring an interpolated frame. The bilateral motion estimation uses sum of bilateral absolute difference algorithm to generate at least one sum of bilateral absolute difference, and then an adaptive parameter is added to each of the sum of bilateral absolute difference to generate at least one adaptive sum of bilateral absolute difference. A group of matching blocks having a minimum adaptive sum of bilateral absolute difference is then determined to be the group of best matching blocks. The motion vector is obtained according to the relative locations of the best matching blocks.