一种基于NSCT和PCNN的图像融合算法

在NSCT变换域提出了一种基于清晰度和PCNN的图像融合算法。首先对源图像分别进行NSCT变换,得到一组高频子带,和一个低频子带。然后对低频子带用提出的边缘清晰度算法进行融合处理,对高频子带,用提出的空间频率做链接强度的自适应PCNN算法进行融合处理。最后通过NSCT逆变换得到融合结果图像。对融合图像的结果分析证明,该算法在主观评价和客观评价指标方面都有所提高。     

Rolling shutter aided optical camera communications with increasing communication distance

Although optical camera communication (OCC) is gaining increasing attention in research, developing a practical OCC system to increase data rate and transmission distance is still an issue. The rolling shutter can increase data rate, but it also limits the transmission distance at the same time. When the transmission distance is long, the thresholding method will become difficult and the block sequence number (BSN) is easy to be wrong due to bit errors, which will make it impossible to reorder the frame sequences. In this paper, in order to increase the transmission distance, we propose the efficient thresholding method which transforms partial mean gray values of per column nonlinearly to increase the contrast between light and dark bands. In addition, this method takes the frame image of the camera as the basic unit to adjust the threshold for the environment in which each frame of the image is located. Experimental results show that this method is better than the polynomial regression. Moreover, we perform the error correction of BSN by using its continuity to specify the legal BSNs and the illegal BSNs.