Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement PDF Download
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Author: Teena Sharma
Publisher: Springer Nature
ISBN: 9819720117
Category :
Languages : en
Pages : 158
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Book Description
Author: Teena Sharma
Publisher: Springer Nature
ISBN: 9819720117
Category :
Languages : en
Pages : 158
Get Book
Book Description
Author: Teena Sharma
Publisher: Springer
ISBN: 9789819720101
Category : Computers
Languages : en
Pages : 0
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Book Description
This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing and non-uniform illumination enhancement. In this book, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to the various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters.
Author: Muhammet Nuri Seyman
Publisher: Springer Nature
ISBN: 3031019849
Category : Computers
Languages : en
Pages : 222
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Book Description
This book constitutes the refereed proceedings of the First International Congress, ICECENG 2022, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 15 full and 2 short papers were selected from 48 submissions and are organized in 4 main tracks: technology trends, artificial intelligence, computing and security. The papers detail the application of formal methods to the construction and analysis of models describing technological processes at both micro and macro levels.
Author: Prof. Monalisha Pattnaik
Publisher: Archers & Elevators Publishing House
ISBN: 9394958843
Category : Antiques & Collectibles
Languages : en
Pages : 276
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Book Description
Author: Sandeep Kumar
Publisher: Springer Nature
ISBN: 9819990432
Category :
Languages : en
Pages : 426
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Book Description
Author: M. Shamim Kaiser
Publisher: Springer Nature
ISBN: 9811900981
Category : Technology & Engineering
Languages : en
Pages : 794
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Book Description
This book contains best selected research papers presented at ICTCS 2021: Sixth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held at Jaipur, Rajasthan, India, during December 17–18, 2021. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. The book is presented in two volumes.
Author: Ashu Kumar
Publisher: Shine Publisher
ISBN: 9781763691568
Category :
Languages : en
Pages : 0
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Book Description
It focuses on creating and refining an advanced face detection algorithm specifically designed to handle challenging scenarios, such as occlusion and non-uniform illumination, in still images. The primary objective of this research is to develop an accurate and robust algorithm that can effectively detect faces even when they are partially covered or under varying lighting conditions. The project begins with an in-depth analysis of existing face detection techniques and their limitations when confronted with occlusion and non-uniform illumination. Through extensive research and experimentation, novel algorithms and methodologies are developed to overcome these challenges and improve the accuracy and reliability of face detection in such scenarios. The developed algorithm leverages advanced computer vision techniques, including feature extraction, pattern recognition, and machine learning, to identify facial characteristics and discriminate between faces and non-face regions. Special attention is given to handling occlusions, such as sunglasses, masks, or facial hair, as well as non-uniform illumination conditions that can create shadows or uneven lighting across the face. The project includes a rigorous evaluation and validation process to assess the performance of the developed algorithm. This involves using benchmark datasets containing occluded and non-uniformly illuminated images, along with performance metrics such as precision, recall, and F1-score. Feedback and insights from domain experts are also considered to refine and optimize the algorithm. The outcomes of this project have significant implications in various applications, including surveillance, image processing, and facial recognition systems. Accurate face detection in the presence of occlusion and non-uniform illumination is crucial for tasks such as identity verification, security, and analysis of facial expressions. The project aims to advance the field of computer vision by creating and refining an algorithm specifically tailored for accurate and reliable face detection in challenging scenarios. The project's outcomes have the potential to enhance various applications that rely on face detection and contribute to advancements in the fields of surveillance, image processing, and biometrics
Author: Tinggui Chen
Publisher: Frontiers Media SA
ISBN: 2832527833
Category : Science
Languages : en
Pages : 939
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Book Description
Author: Hong Song
Publisher: Frontiers Media SA
ISBN: 2832533299
Category : Science
Languages : en
Pages : 324
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Book Description
Author: Zhenghua Chen
Publisher: World Scientific
ISBN: 9811218854
Category : Computers
Languages : en
Pages : 327
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Book Description
Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.
