Key Takeaways:
- "Image Processing" is a new book by Dr. Bahareh Rahmani that offers a hands-on approach to image processing using Python programming and OpenCV.
- The book features original visual content, integrated Python programming, and project-based learning, making it an ideal resource for students and professionals.
- Dr. Rahmani is an Associate Professor at Saint Louis University with a diverse academic background in data science, biostatistics, and artificial intelligence.
- The book is available in paperback and eBook formats, with a retail price of $30.00 and $25.00 respectively.
- The book is published by Dorrance Publishing Co., Inc. and is available for purchase on their online bookstore.
Introduction to Image Processing
The demand for data science and artificial intelligence expertise is on the rise, and a new book by Dr. Bahareh Rahmani is set to transform the way students and professionals master the art of visual data. "Image Processing" is a comprehensive guide that offers a hands-on approach to labeling, classifying, restoring, and compressing digital images. Unlike traditional textbooks that often focus on abstract theory, this book is designed as a functional "course notebook" that treats digital images as dynamic signals and matrices. This approach allows readers to gain a deeper understanding of image processing concepts and apply them in real-world scenarios.
A Unique and Practical Approach
What sets "Image Processing" apart from other books on the subject is its focus on application. Each chapter is supported by original visual content, integrated Python programming, and project-based learning. The book features images captured by Dr. Rahmani herself, ensuring a unique and cohesive visual experience that cannot be found in other tutorials. The inclusion of OpenCV coding and practical assignments makes the text an ideal primary resource for college-level courses and self-taught developers alike. This approach allows readers to learn by doing, rather than just reading about theoretical concepts.
About the Author
Dr. Bahareh Rahmani is an Associate Professor in the Health & Clinical Outcome Research Department at the Saint Louis University School of Medicine. With a diverse academic background in data science, biostatistics, and artificial intelligence, Dr. Rahmani is well-equipped to provide a comprehensive and mathematically rigorous guide to image processing. She has taught 25 different courses across five prestigious institutions over the past eight years, making her a veteran educator with a deep understanding of how to convey complex concepts in a clear and concise manner. Her expertise and teaching experience ensure that "Image Processing" is both pedagogically sound and accessible to readers with varying levels of expertise.
Book Details and Availability
"Image Processing" is a 98-page paperback with a retail price of $30.00, and an eBook version is available for $25.00. The book is published by Dorrance Publishing Co., Inc. of Pittsburgh, Pennsylvania, and is available for purchase on their online bookstore. For members of the press, review copies and author interviews can be requested through the publisher’s website. The book’s ISBN is 979-8-89499-265-5, and more information on publishing services can be found on the Dorrance Publishing website.
Conclusion and Future Directions
The release of "Image Processing" is a significant development in the field of data science and artificial intelligence. As the demand for expertise in these areas continues to grow, books like "Image Processing" will play a crucial role in educating and training the next generation of professionals. With its unique and practical approach, "Image Processing" is an essential resource for anyone looking to master the art of visual data. Whether you are a student, professional, or simply interested in learning more about image processing, this book is an excellent starting point. As the field continues to evolve, it will be exciting to see how "Image Processing" contributes to the development of new technologies and applications.
