Second issue of volume 13

The sixth paper by Tan et al. entitled “A real-time video denoising algorithm with FPGA implementation for Poisson–Gaussian noise,” presents an improvement of the denoising capability of pixel similarity weighted frame averaging (PSWFA) using a pre-filter that consists of a downsampling operator and a Gaussian filter. [...]a generalized Anscombe transformation is introduced. [...]the amount of private data, which a service provider needs to transmit through a secure channel to the customers on demand, is reduced significantly for real-time deployment purposes. The tenth and final paper by Ratnayake et al. entitled “Embedded architecture for noise-adaptive video object detection using parameter-compressed background modeling,” proposes a resource- and power-optimized FPGA-based configurable architecture for video object detection by integrating noise estimation, mixture-of-Gaussian background modeling, motion detection, and thresholding.