Image Processing with Python (eBook, ePUB)
A practical approach
Redaktion: Ansari, Irshad Ahmad; Bajaj, Varun
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Scientists routinely use MATLAB or Octave for computational applications, and C/C++ or Fortran is still used for more rigorous modeling. However, Python is gaining popularity in scientific computing, as it has built-in scientific support through packages and toolkits such as SciPy and NumPy. It is open-source and has strong community support for developing packages and sharing expertise. Given this, it is inevitable that Python has become one of the most popular, flexible programming languages used today, and it is finding applications in science and engineering for everything from basic scrip...
Scientists routinely use MATLAB or Octave for computational applications, and C/C++ or Fortran is still used for more rigorous modeling. However, Python is gaining popularity in scientific computing, as it has built-in scientific support through packages and toolkits such as SciPy and NumPy. It is open-source and has strong community support for developing packages and sharing expertise. Given this, it is inevitable that Python has become one of the most popular, flexible programming languages used today, and it is finding applications in science and engineering for everything from basic scripting to machine learning, and image processing is not immune to the march of Python.
This book explores the domain of image processing using Python with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of image processing fundamentals, this book introduces Python programming via image processing and provides numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field, write their own code, and implement complex image processing algorithms such as image enhancement, compression, restoration, segmentation, watermarking, and encryption, and be able to incorporate machine learning models using relevant Python libraries.
This book is prepared to meet the needs of young researchers and professionals who are about to start their research journey in the domain of image processing. This book will help readers develop their own applications, whether for software-based implementation or simulation and testing before a final hardware implementation, to check new developments and techniques in image processing with Python, or for applications in computer vision.
This book explores the domain of image processing using Python with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of image processing fundamentals, this book introduces Python programming via image processing and provides numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field, write their own code, and implement complex image processing algorithms such as image enhancement, compression, restoration, segmentation, watermarking, and encryption, and be able to incorporate machine learning models using relevant Python libraries.
This book is prepared to meet the needs of young researchers and professionals who are about to start their research journey in the domain of image processing. This book will help readers develop their own applications, whether for software-based implementation or simulation and testing before a final hardware implementation, to check new developments and techniques in image processing with Python, or for applications in computer vision.
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