Best Reference Books – Fundamentals of Image Processing

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We have compiled the list of Top 10 Best Reference Books on Fundamentals of Image Processing subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Fundamentals of Image Processing along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Fundamentals of Image Processing subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Fundamentals of Image Processing" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Fundamentals of Digital Image Processing” by Sanjay Sharma
2. “Fundamentals of Digital Image Processing” by ANNADURAI

“Fundamentals of Digital Image Processing” Book Review: The book discusses the five fundamental aspects of digital image processing namely, image enhancement, transformation, segmentation, compression, and restoration. Presented in a simple and lucid manner, the book aims to provide the reader a sound and firm theoretical knowledge on digital image processing. It is supported by a large number of colored illustrations.

3. “Fundamentals of Digital Image Processing” by Jain A K

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“Fundamentals of Digital Image Processing” Book Review: This book provides a thorough overview of the topics in digital Image processing representation, processing, techniques, and communication. It overs aspects of image representation including luminance, color, spacial and temporal properties of vision and digitization. Image processing techniques are explained in full, and comprehensive treatment of stochastic models useful in understanding the fundamental techniques of image restoration and coding is provided. Over 400 pieces of art and numerous illustrative diagrams help the reader in understanding the subject.

4. “Fundamentals of Statistical Signal Processing, Volume II: Detection Theory: 002 (Prentice-Hall Signal Processing Series)” by Steven M Kay

“Fundamentals of Statistical Signal Processing, Volume II: Detection Theory: 002 (Prentice-Hall Signal Processing Series)” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. The book covers how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. It includes methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. Finally, it focuses on radar doppler center frequency estimation, magnetic signal detection, and heart rate monitoring.

5. “Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab” by Chris Solomon and Toby Breckon

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“Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. It provides a comprehensive introduction to the science of image processing. Key concepts and techniques are thoroughly explained and the theory is complemented and consolidated with numerous practical examples and code fragments. It focuses on the essential elements in image processing techniques and is suitable both for beginners and for experienced researchers. It includes the MatLab programming language to enhance understanding of the practical aspects of the subject, applications such as medical imaging and Geographic Information Systems.

6. “Fundamentals of Statistical Processing, Volume I: Estimation Theory (Prentice-Hall Signal Processing Series)” by Steven M Kay

“Fundamentals of Statistical Processing, Volume I: Estimation Theory (Prentice-Hall Signal Processing Series)” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. The book covers how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. It includes methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. Finally, it focuses on radar doppler center frequency estimation, magnetic signal detection, and heart rate monitoring.

7. “Image Processing: The Fundamentals” by Maria Petrou and Costas Petrou

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“Image Processing: The Fundamentals” Book Review: This book is designed for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing. It includes image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal, and several other new topics. It contains a large number of fully worked-out examples. Later it focuses on an understanding of how image processing methods work in practice. It also includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource.

8. “Fundamentals of Signals and Control Systems (Digital Signal and Image Processing)” by Smain Femmam

“Fundamentals of Signals and Control Systems (Digital Signal and Image Processing)” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. This book introduces basic electronic and data communications fundamentals. And also explores their application in modern digital and data communications systems. It includes Signals and processing steps from information source through a transmitter, channel, receiver, and information sink. Students with previous knowledge in basic electronic principles and fundamental calculus concepts will gain a complete understanding of the topics presented here.

9. “Optical and Digital Image Processing: Fundamentals and Applications” by Gabriel Cristobal and Peter Schelkens

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“Optical and Digital Image Processing: Fundamentals and Applications” Book Review: This book includes the state-of-the-art methods and techniques currently used by the researchers as well as the most significant applications. This book covers both optical and digital domains including the fundamentals, the current state-of-the-art and covering a selected range of applications has not so far been published. It includes the basic concepts in optics, photonics, information theory, and digital image processing. It also includes methodologies and techniques that serve as the foundations upon which the remainder of the book has been built upon. Later it focuses on applications following an optical and/or digital approach. In most of the cases, the editors’ intention has been to illustrate how the different application areas have been solved by optical, digital, or even hybrid optical-digital approaches.

10. “Image Processing and Mathematical Morphology: Fundamentals and Applications” by Frank Y Shih

“Image Processing and Mathematical Morphology: Fundamentals and Applications” Book Review: This book is designed for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing. It includes image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal, and several other new topics. It contains a large number of fully worked-out examples. Later it focuses on an understanding of how image processing methods work in practice. It also includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Fundamentals of Image Processing – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter