Twitter has largely abandoned an image-cropping algorithm after determining the automated system was biased. Some users complained it had a preference toward showing pictures of white people in ...

This paper presents the implementation of Optimized CNN for Image Processing using Verilog. The main emphasis lies in harnessing the capabilities of CNNs (Convolutional Neural Networks) for image ...

Leveraged image processing in Kidney Stone identification, combining Convolutional Neural Network with Canny edge detection and power-law transformations for 90% accuracy on test data, enhancing ...

The Cellular Neural Network (CNN) is a large-scale nonlinear analog circuit able to process signals in real time [1]. In this paper, we develop a new design in evaluation of image processing ...

Three years ago, Bouman led the creation of an algorithm that eventually helped capture this first-of-its-kind image: a supermassive black hole and its shadow at the center of a galaxy known as M87.

As can be seen from the Table 4, in the objective evaluation of the fusion results of MGF, DSIFT, IFCNN, CNN and SESF in the real environment, no fusion algorithm has competitive performance compared ...

--WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced the development of a convolutional neural network-based image fusion algorithm system.

Image source. Now let us discuss what are the different popular algorithms used for object detection that are based on the CNN model. First, we will come to know about three popular models – R-CNN, ...

Twitter has largely abandoned an image-cropping algorithm after determining the automated system was biased. Some users complained it had a preference toward showing pictures of white people in ...