Motivated by the pursuit of both encryption efficiency and security, this paper presents a
symmetric color image encryption algorithm using a novel cross–plane joint scrambling …

Convolution is the inner product of the neighborhood signal and weights and plays a
fundamental role in image processing; thus, acceleration of convolution is essential. Among …

In this article, a new method is provided for accelerating the execution of convolution layers
in Deep Neural Networks. This research work provides the theoretical background to …

A Gaussian blur filter is applied to produce the new pixel value of an image using a
Gaussian function. It is a low-pass filter and modifies the input image pixels by convolution …

Filter2D, as a fundamental operator of CNN, has vital optimization and acceleration
significance in computer vision (CV) applications, so it is designed as the CCFSys …

Developments in hardware have delivered formidable computing power. Yet, the increased
hardware complexity has made it a real challenge to develop software that exploits the …

Nowadays, convolutional neural networks are among the most widely used types of deep
learning networks thanks to their usefulness in many application domains. There are many …

In the field of digital image processing, the image data are required to operate for some
enhancement operations such as image filtering, image restoration, image transformation …

Filter2D, as a fundamental operator of CNN, has vital opti-mization and acceleration
significance in computer vision (CV) applications, so it is designed as the CCFSys …