Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch
暫譯: Python影像處理大師班：50+ 解決方案與技術，使用Numpy、Scipy、Pytorch解決複雜的數位影像處理挑戰
Dey, Sandipan
- 出版商: Bpb Publications
- 出版日期: 2021-03-10
- 售價: $1,360
- 貴賓價: 9.5 折 $1,292
- 語言: 英文
- 頁數: 430
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9389898641
- ISBN-13: 9789389898644
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相關分類:
Python、程式語言、DeepLearning、數位影像處理 Digital-image
無法訂購
商品描述
Over 50 problems solved with classical algorithms + ML / DL modelsKey Features Problem-driven approach to practice image processing. Practical usage of popular Python libraries: Numpy, Scipy, scikit-image, PIL and SimpleITK. End-to-end demonstration of popular facial image processing challenges using MTCNN and Microsoft's Cognitive Vision APIs.Description
This book starts with basic Image Processing and manipulation problems and demonstrates how to solve them with popular Python libraries and modules. It then concentrates on problems based on Geometric image transformations and problems to be solved with Image hashing. Next, the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems using different algorithms such as spatial filters and create a super resolution image using SRGAN. Finally, it explores popular facial image processing problems and solves them with Machine learning and Deep learning models using popular python ML / DL libraries.What you will learn
Develop strong grip on the fundamentals of Image Processing and Image Manipulation. Solve popular Image Processing problems using Machine Learning and Deep Learning models. Working knowledge on Python libraries including numpy, scipy and scikit-image. Use popular Python Machine Learning packages such as scikit-learn, Keras and pytorch. Live implementation of Facial Image Processing techniques such as Face Detection / Recognition / Parsing dlib and MTCNN.Who this book is for
This book is designed specially for computer vision users, machine learning engineers, image processing experts who are looking for solving modern image processing/computer vision challenges.Table of Contents
1. Chapter 1: Basic Image & Video Processing
2. Chapter 2: More Image Transformation and Manipulation
3. Chapter 3: Sampling, Convolution and Discrete Fourier Transform
4. Chapter 4: Discrete Cosine / Wavelet Transform and Deconvolution
5. Chapter 5: Image Enhancement
6. Chapter 6: More Image Enhancement
7. Chapter 7: Face Image Processing
About the Author
Sandipan Dey is a Data Scientist with a wide range of interests, covering topics such as Machine Learning, Deep Learning, Image Processing and Computer Vision. He has worked in numerous data science fields, such as recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in Computer Science from the University of Maryland, Baltimore County, and has published in a few IEEE data mining conferences and journals. He has also authored a couple of Image Processing books, published from an international publication house. He has earned certifications from 100+ MOOCs on data science and related courses. He is a regular blogger (at sandipanweb @wordpress, medium and data science central) and is a Machine Learning education enthusiast. LinkedIn Profile: https: //www.linkedin.com/in/sandipan-dey-0370276
This book starts with basic Image Processing and manipulation problems and demonstrates how to solve them with popular Python libraries and modules. It then concentrates on problems based on Geometric image transformations and problems to be solved with Image hashing. Next, the book focuses on solving problems based on Sampling, Convolution, Discrete Fourier transform, Frequency domain filtering and image restoration with deconvolution. It also aims at solving Image enhancement problems using different algorithms such as spatial filters and create a super resolution image using SRGAN. Finally, it explores popular facial image processing problems and solves them with Machine learning and Deep learning models using popular python ML / DL libraries.What you will learn
This book is designed specially for computer vision users, machine learning engineers, image processing experts who are looking for solving modern image processing/computer vision challenges.Table of Contents
1. Chapter 1: Basic Image & Video Processing
2. Chapter 2: More Image Transformation and Manipulation
3. Chapter 3: Sampling, Convolution and Discrete Fourier Transform
4. Chapter 4: Discrete Cosine / Wavelet Transform and Deconvolution
5. Chapter 5: Image Enhancement
6. Chapter 6: More Image Enhancement
7. Chapter 7: Face Image Processing
About the Author
Sandipan Dey is a Data Scientist with a wide range of interests, covering topics such as Machine Learning, Deep Learning, Image Processing and Computer Vision. He has worked in numerous data science fields, such as recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in Computer Science from the University of Maryland, Baltimore County, and has published in a few IEEE data mining conferences and journals. He has also authored a couple of Image Processing books, published from an international publication house. He has earned certifications from 100+ MOOCs on data science and related courses. He is a regular blogger (at sandipanweb @wordpress, medium and data science central) and is a Machine Learning education enthusiast. LinkedIn Profile: https: //www.linkedin.com/in/sandipan-dey-0370276
商品描述(中文翻譯)
超過 50 個問題透過經典演算法 + 機器學習 / 深度學習模型解決
主要特點書籍描述
本書從基本的影像處理和操作問題開始，並展示如何使用流行的 Python 函式庫和模組來解決這些問題。接著，專注於基於幾何影像變換的問題以及使用影像雜湊解決的問題。接下來，本書專注於解決基於取樣、卷積、離散傅立葉變換、頻域濾波和使用去卷積進行影像恢復的問題。它還旨在使用不同的演算法解決影像增強問題，例如空間濾波器，並使用 SRGAN 創建超解析度影像。最後，它探討流行的臉部影像處理問題，並使用流行的 Python 機器學習 / 深度學習函式庫透過機器學習和深度學習模型來解決這些問題。
您將學到什麼
本書適合誰閱讀
本書專為電腦視覺使用者、機器學習工程師、影像處理專家設計，適合尋求解決現代影像處理/電腦視覺挑戰的人士。
目錄
1. 第 1 章：基本影像與影片處理
2. 第 2 章：更多影像變換與操作
3. 第 3 章：取樣、卷積與離散傅立葉變換
4. 第 4 章：離散餘弦 / 小波變換與去卷積
5. 第 5 章：影像增強
6. 第 6 章：更多影像增強
7. 第 7 章：臉部影像處理
關於作者
Sandipan Dey 是一位資料科學家，擁有廣泛的興趣，涵蓋機器學習、深度學習、影像處理和電腦視覺等主題。他在許多資料科學領域工作過，如推薦系統、事件產業的預測模型、感測器定位模型、情感分析和設備預測。他在馬里蘭大學巴爾的摩縣校區獲得計算機科學碩士學位，並在幾個 IEEE 資料挖掘會議和期刊上發表過論文。他還撰寫了幾本影像處理書籍，並由國際出版機構出版。他已獲得 100 多個 MOOC 的資料科學及相關課程的證書。他是一位定期部落客（在 sandipanweb @wordpress、medium 和 data science central），並對機器學習教育充滿熱情。 LinkedIn 個人檔案: https://www.linkedin.com/in/sandipan-dey-0370276
