Overview of Deep Learning Applications in Image Processing

Overview of Deep Learning Applications in Image Processing

Click on the above“Beginner Learning Vision” to selectStar or “Top” Valuable content delivered to you first This article is adapted from: Artificial Intelligence and Algorithm Learning At the core of computer vision is image processing, which fundamentally involves signal reconstruction under certain assumptions. This reconstruction is not about 3-D structure reconstruction; it refers to recovering … Read more

Comprehensive Overview of Deep Learning in Image Denoising

Comprehensive Overview of Deep Learning in Image Denoising

Click on the above “Beginner Learning Visuals” to select “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is reprinted from: AI Algorithms and Image Processing Recently, researchers from Harbin Institute of Technology, Guangdong University of Technology, Tsinghua University, and National Tsing Hua University in Taiwan jointly authored a comprehensive review on … Read more

Fundamentals of Image Processing

Fundamentals of Image Processing

Click on the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavy content, delivered first time Image 1. Analog Image An analog image, also known as a continuous image, refers to an image that continuously varies in a two-dimensional coordinate system, meaning the image points are infinitely dense and possess gray values (i.e., … Read more

Understanding Stable Diffusion Principles in Simple Terms

Understanding Stable Diffusion Principles in Simple Terms

Source: AI Algorithms and Image Processing This article is about 4300 words, recommended reading time is 8 minutes. A detailed interpretation of the stable diffusion paper, after reading this, you will never find it hard to understand! 1. Introduction (Can Be Skipped) Hello, everyone, I am Tian-Feng. Today I will introduce some principles of stable … Read more

Developing a Small Tool with Trae

Developing a Small Tool with Trae

Among all the things that AI programming can do, the simplest and most suitable for beginners is to create small tools or games with pure HTML pages. AI generates .html files, which can be opened directly in a browser by double-clicking. Trae has released a Windows version, and I remembered that my Mac computer has … Read more

Comprehensive Guide to Starting Research in Computer Vision

Comprehensive Guide to Starting Research in Computer Vision

(Welcome to follow the “I Love Computer Vision” public account, a valuable and in-depth account~) Many people have asked how to get started with CV, this article is a re-release of an old text, it is quite long, translated from a foreign blog, the time is a bit long, but the principles are the same, … Read more

Do Neural Network Algorithms Create Copyrightable Works?

Do Neural Network Algorithms Create Copyrightable Works?

(Please indicate the source and author for reprinting) Editor’s Note In recent years, artificial neural network algorithms have emerged, with Google’s Deep Dream as a typical example, which can capture features of selected images and endow another image with similar characteristics. A new project researched by the University of Tübingen in Germany has matured this … Read more

Understanding CNN (Convolutional Neural Network) Algorithm

This article will explain what problems CNN solves,the principles of human vision,the basic principles of CNN,The typical CNN and its practical applications in four aspects, helping you to understand Convolutional Neural Networks (CNN) in one article. 1.What Problems CNN Solves There are two major challenges in image processing: Huge Data Volume: Images are composed of … Read more

25 Must-Know Deep Learning Open Datasets for Data Scientists

25 Must-Know Deep Learning Open Datasets for Data Scientists

Selected from Analytics Vidhya Author:Pranav Dar Translated by Machine Heart Contributors: Chen Yunzhu, Lu This article introduces 25 open deep learning datasets, including those for image processing, natural language processing, speech recognition, and real-world problem datasets. Introduction The key to deep learning (or most fields in life) is practice. You need to practice solving various … Read more

Implementing OCR Recognition Using Halcon

Implementing OCR Recognition Using Halcon

Previously, I worked with OpenCV, but now the company has a project for OCR, and I’ve implemented it using Halcon. There is a lot of information online about OCR teaching, but it can be overwhelming. Below is the practical implementation based on the materials and the current project. First, we need to create a sample … Read more