How to Master Digital Image Processing with Sanjay Sharma's Book PDF Free 17
Digital Image Processing Book by Sanjay Sharma PDF Free 17
Digital image processing is a fascinating and useful field that deals with manipulating and enhancing images using computer algorithms. If you are interested in learning more about this topic, you might want to check out the book Digital Image Processing by Sanjay Sharma. In this article, we will tell you everything you need to know about this book, including its features, how to download it for free, and some alternatives to it. Let's get started!
digital image processing book by sanjay sharma pdf free 17
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What is digital image processing?
Digital image processing is the process of applying various operations and transformations on digital images, such as filtering, compression, segmentation, edge detection, face recognition, and more. Digital image processing can be used for various purposes, such as improving the quality and appearance of images, extracting information and features from images, creating artistic effects and animations, and solving real-world problems in fields like medicine, engineering, astronomy, and security.
Why is it important?
Digital image processing is important because it enables us to manipulate and enhance images in ways that are not possible with traditional methods. For example, digital image processing can help us remove noise and blur from images, restore old and damaged photos, detect and diagnose diseases from medical images, recognize faces and objects from surveillance cameras, compress and encrypt images for efficient storage and transmission, and create realistic and immersive virtual environments.
Who is Sanjay Sharma?
Sanjay Sharma is a professor of electronics and communication engineering at S.K. Kataria & Sons College in India. He has written several books on topics like digital communications, analog communications, signals and systems, microprocessors, and digital image processing. He has also published many research papers in national and international journals. He has over 20 years of teaching experience and is well-known for his clear and concise explanations of complex concepts.
Features of the Book
Overview of the book
The book Digital Image Processing by Sanjay Sharma was published in 2013 by S.K. Kataria & Sons. It has 242 pages and covers the basic principles and techniques of digital image processing in a comprehensive and systematic manner. The book is suitable for undergraduate and postgraduate students of electronics and communication engineering, computer science engineering, information technology, and related disciplines. It is also useful for professionals and researchers who want to update their knowledge on this field.
Contents of the book
The book consists of nine chapters that cover the following topics:
Chapter 1: Introduction to Digital Image Processing - This chapter introduces the basic concepts and terminology of digital image processing, such as pixels, resolution, color models, histogram, spatial domain, frequency domain, etc.
Chapter 2: Image Enhancement in Spatial Domain - This chapter discusses various techniques for enhancing the contrast, brightness, sharpness, and details of images in the spatial domain, such as point processing, histogram equalization, spatial filtering, smoothing, sharpening, etc.
Chapter 3: Image Enhancement in Frequency Domain - This chapter explains how to perform image enhancement in the frequency domain using Fourier transform, discrete cosine transform, discrete wavelet transform, etc. It also covers various filters for removing noise and blur from images, such as low-pass, high-pass, band-pass, notch, etc.
Chapter 4: Image Restoration - This chapter deals with the problem of restoring images that are degraded by noise, blur, distortion, or other factors. It covers various methods for estimating and removing noise and blur from images, such as inverse filtering, Wiener filtering, constrained least squares filtering, blind deconvolution, etc.
Chapter 5: Image Segmentation - This chapter describes how to divide an image into meaningful regions or segments based on some criteria, such as intensity, color, texture, shape, etc. It covers various techniques for image segmentation, such as thresholding, region growing, region splitting and merging, edge detection, boundary detection, etc.
Chapter 6: Image Compression - This chapter explains how to reduce the size of an image without losing much information or quality. It covers various methods for image compression, such as lossless compression and lossy compression. It also discusses various standards and formats for image compression, such as JPEG, JPEG2000, GIF, PNG, etc.
Chapter 7: Image Representation and Description - This chapter discusses how to represent and describe an image using various features and descriptors that can be used for further analysis and processing. It covers various methods for image representation and description, such as chain codes, polygonal approximation, Fourier descriptors, moment invariants, shape signatures, texture features, color features, etc.
Chapter 8: Object Recognition - This chapter explains how to recognize and identify objects or patterns from images using various techniques and algorithms. It covers various methods for object recognition, such as template matching, correlation matching, feature matching, principal component analysis (PCA), linear discriminant analysis (LDA), support vector machines (SVM), neural networks (NN), etc.
Chapter 9: Applications of Digital Image Processing - This chapter illustrates some of the applications of digital image processing in various fields and domains, such as medical imaging (MRI, CT scan, ultrasound, X-ray, etc.), remote sensing (satellite imagery, aerial photography, etc.), biometrics (face recognition, fingerprint recognition, iris recognition, etc.), security (surveillance cameras, steganography, watermarking, etc.), art and entertainment (cartooning, morphing, animation, etc.), and more.
Benefits of the book
The book Digital Image Processing by Sanjay Sharma has many benefits for the readers who want to learn more about this topic. Some of the benefits are:
The book is written in a simple and easy-to-understand language that makes it accessible to anyone who has a basic knowledge of mathematics and programming.
The book provides a comprehensive and systematic coverage of the fundamental principles and techniques of digital image processing with relevant examples and illustrations.
The book includes numerous solved problems and exercises at the end of each chapter that help the readers to test their understanding and practice their skills.
The book also includes a CD-ROM that contains the MATLAB code for some of the algorithms and techniques discussed in the book. The readers can use this code to implement and experiment with the concepts on their own.
How to Download the Book for Free
Steps to download the book
If you want to download the book Digital Image Processing by Sanjay Sharma PDF free 17 for your personal use or reference you can follow these steps:
Go to Google Books website at https://books.google.com/.
In the search box type "Digital Image Processing Sanjay Sharma" and hit enter.
You will see a list of results that match your query. Click on the one that has the title author and publisher that you are looking for.
You will be taken to a page that shows a preview of the book. On the left side you will see a button that says "Download PDF". Click on it.
A pop-up window will appear that asks you to sign in with your Google account. If you have one enter your email and password. If you don't have one ```html ".
After signing in you will be able to download the book as a PDF file to your computer or device. You can also save it to your Google Drive or print it if you want.
Tips to avoid scams and viruses
While downloading the book Digital Image Processing by Sanjay Sharma PDF free 17 you should be careful and avoid any scams or viruses that might harm your computer or device. Here are some tips to help you:
Only download the book from a trusted and reputable source such as Google Books. Do not click on any suspicious or unknown links that claim to offer the book for free.
Do not download any attachments or files that are sent to you by email or social media that claim to contain the book. They might contain malware or spyware that can infect your computer or device.
Do not enter any personal or financial information on any website that asks you to do so in order to download the book. They might be phishing sites that are trying to steal your identity or money.
Use a reliable and updated antivirus software on your computer or device that can detect and remove any viruses or threats that might come with the book.
Alternatives to the Book
Other books on digital image processing
If you are looking for other books on digital image processing that can complement or supplement the book Digital Image Processing by Sanjay Sharma you might want to check out these books:
Digital Image Processing by Rafael C. Gonzalez and Richard E. Woods - This is one of the most popular and widely used books on digital image processing. It covers the theory and practice of digital image processing in a comprehensive and accessible manner. It includes many examples exercises and projects that help the readers to apply the concepts to real-world problems.
Fundamentals of Digital Image Processing by Anil K. Jain - This is another classic and authoritative book on digital image processing. It provides a solid foundation and a balanced treatment of the core topics and techniques of digital image processing. It also covers some advanced topics such as wavelets neural networks and fuzzy logic.
Digital Image Processing Using MATLAB by Rafael C. Gonzalez Richard E. Woods and Steven L. Eddins - This is a companion book to the first book mentioned above. It shows how to use MATLAB a powerful and popular software tool for numerical computation and visualization to implement and experiment with digital image processing algorithms and techniques.
Online courses and tutorials on digital image processing
If you prefer to learn digital image processing online rather than from books you might want to check out these online courses and tutorials that can teach you the basics and beyond of digital image processing:
Digital Image Processing by Coursera - This is an online course offered by Northwestern University that covers the fundamentals and applications of digital image processing. It includes video lectures quizzes assignments and projects that help the learners to master the concepts and skills of digital image processing.
Digital Image Processing by Udemy - This is another online course that teaches digital image processing using MATLAB. It covers topics such as image enhancement image restoration image segmentation image compression image representation and description and object recognition. It also includes practical examples and exercises that help the learners to practice and apply what they learn.
Digital Image Processing Tutorial by Tutorialspoint - This is an online tutorial that provides a simple and easy introduction to digital image processing. It covers topics such as introduction to digital image processing image fundamentals image enhancement techniques image restoration techniques image compression techniques and image segmentation techniques. It also includes examples and diagrams that illustrate the concepts clearly.
Conclusion
In this article, we have given you an overview of the book Digital Image Processing by Sanjay Sharma PDF free 17. We have told you what digital image processing is, why it is important, who Sanjay Sharma is, what are the features of the book, how to download the book for free, and what are some alternatives to the book. We hope you have found this article helpful and informative. If you are interested in learning more about digital image processing, we encourage you to get the book and start reading it. You will surely find it useful and enjoyable.
FAQs
Q1: Is digital image processing hard to learn?
A1: Digital image processing is not hard to learn if you have a basic knowledge of mathematics and programming. You can also use books, online courses, and tutorials to help you learn the concepts and techniques of digital image processing. However, digital image processing is a vast and dynamic field that requires constant learning and updating. You will need to practice and experiment with different algorithms and methods to improve your skills and knowledge.
Q2: What are the applications of digital image processing?
A2: Digital image processing has many applications in various fields and domains, such as medical imaging (MRI, CT scan, ultrasound, X-ray, etc.), remote sensing (satellite imagery, aerial photography, etc.), biometrics (face recognition, fingerprint recognition, iris recognition, etc.), security (surveillance cameras, steganography, watermarking, etc.), art and entertainment (cartooning, morphing, animation, etc.), and more.
Q3: How can I contact Sanjay Sharma?
A3: You can contact Sanjay Sharma by email at sanjaysharma@skkataria.com. You can also visit his website at http://www.sanjaysharma.com/ to know more about him and his books.
Q4: What are the prerequisites for reading this book?
A4: The prerequisites for reading this book are a basic knowledge of mathematics and programming. You should also have some familiarity with MATLAB or any other software tool that can be used for digital image processing.
Q5: How can I give feedback on this book?
A5: You can give feedback on this book by writing a review on Google Books or any other platform where the book is available. You can also contact the author or the publisher directly and share your opinions and suggestions. 71b2f0854b