The class ImageFilter implements a sequential, iterative nine-point image convolution filter working on a linearized (2D) image. In each of the NRSTEPS (=100) iteration steps, the average RGB-value of ...

Abstract: 2D Convolution is the most convenient method to analyze digital image and video processing and has a variety of digital image processing applications such as edge detection, image ...

This project focuses on implementing parallel algorithms for smoothing RGB color images using the Java Fork-Join library. The project involves two parallel filters: a mean filter and a median filter.

These multiple camera inputs are flattened and processed in parallel, and then YOLO is used to combine the 3D data from the lidar with the 2D inputs from the camera. By combining cameras from multiple ...

The Noise sample also includes pseudo-random number generator (RNG) functions that yield fairly good results—sufficient that a generated image visually appears random. 1D, 2D, and 3D versions ...

2D: Bioluminescence, fluorescence and Cherenkov. ... Able to image up to 10 animals simultaneously. ... Enabling parallel use of optical and X-Ray CT modules by different research teams/applications.