This paper proposes a robust image restoration method using two-dimensional block Kalman filter with colored driving source. This method aims to achieve high quality image restoration for blur and noise disturbance from the canonical state space models with (i) a state equation composed of the original image, and (ii) an observation equation composed of the original image, blur, and noise. The remarkable feature of the proposed method is realization of high performance image restoration without sacrificing original image despite simple image restoration using only Kalman filter algorithm, while many conventional methods based on the Kalman filter theory usually perform the image restoration, using the parameter estimation algorithm of AR(auto regressive) system and the Kalman filter algorithm. We show the effectiveness of the proposed method using numerical results and subjective evaluation results.
The focus of this present work is to develop a novel security paper sheet which includes Kapok fibers containing solid fluorescence particles inside. The Kapok fibers are natural half transparent hollow tubes whose inner and outer diameters are 18 and 20 μm respectively. The fibers exhibit superior water repellent properties and absorb oil due to capillary force. Furthermore, the fibers have high hollow rate. In general, synthetic fibers have hollow rate of about 50%, however, those of Kapok fibers are over 80%. In this paper, we tried to make Kapok fibers containing solid fluorescence particles inside, and a paper sheet containing the composite fibers as described above. We found the paper sheet exhibits strong luminescent. The Kapok fibers including solid fluorescence particles have a beneficial effect on anti-counterfeit technologies.
