Image and video processing research is becoming an important area in the field of computer
vision. There are challenges such as low-resolution images, poor quality of videos, etc. in …

The number of images on the internet is currently 750 billion, and it is continuously
increasing. Since AI is now producing as many photos as photographers have in the last …

Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features
from input data. Nowadays, researchers have intensively investigated deep learning …

Conventionally, many techniques of machine learning and signal processing have been
used widely with structured architectures containing a single layer and thus a lack of multiple …

This paper delves into the application and performance of deep learning algorithms in the
field of image recognition. By comparing different deep learning models such as …

An Analysis of Various Deep Learning Algorithms for Image Processing Page 1 VIVA-Tech
International Journal for Research and Innovation Volume 1, Issue 2 (2019) ISSN(Online) …

Deep learning has strong abilities in finding and expressing characteristics of pictures.
Recent years, with the arrival of big data era and the development of computers, deep …

The goal of this chapter is to introduce you to the underlying deep learning algorithms that
power computer vision applications. Deep learning is applied in the classification, detection …

Deep learning has emerged as an effective tool for fixing a diffusion of image processing
responsibilities such as object detection, category, segmentation, and reconstruction. This …

The image classification is a classical problem of image processing, computer vision and
machine learning fields. Image classification is a complex procedure which relies on …