digital image processing book by sanjay sharma pdf 13
Digital Image Processing Book by Sanjay Sharma PDF 13
Digital image processing is a fascinating field that has many applications in various domains such as computer vision, medical imaging, biometrics, security, remote sensing, etc. If you are interested in learning more about this subject, you might want to check out the book \"Digital Image Processing\" by Sanjay Sharma. This book is a comprehensive and updated text that covers the theory and practice of digital image processing with numerous examples and illustrations. In this article, we will give you an overview of the book and its contents, as well as provide you with a download link for the PDF version of the book.
What is Digital Image Processing?
Digital image processing is the use of computer algorithms to perform various operations on digital images, such as enhancement, restoration, compression, segmentation, representation, description, recognition, etc. The main goal of digital image processing is to improve the quality and usefulness of the images for human or machine perception and analysis.
Digital image processing has many applications in different fields, such as:
Computer vision: The study of how computers can understand and interpret visual information from images or videos.
Medical imaging: The use of imaging techniques to diagnose and treat diseases or injuries.
Biometrics: The use of physical or behavioral characteristics to identify or verify individuals.
Security: The use of image processing techniques to enhance or protect information or systems from unauthorized access or tampering.
Remote sensing: The use of sensors to acquire information about objects or areas from a distance.
Who is Sanjay Sharma?
Sanjay Sharma is a professor of electronics and communication engineering at Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India. He has more than 25 years of teaching and research experience in the field of digital signal processing, digital image processing, digital communication systems, etc. He has authored or co-authored more than 15 books and more than 100 research papers in national and international journals and conferences. He has also received several awards and honors for his academic excellence and contributions.
What is the book about?
The book \"Digital Image Processing\" by Sanjay Sharma is a comprehensive text that covers the theory and practice of digital image processing with numerous examples and illustrations. The book is divided into 11 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 image representation, sampling, quantization, resolution, etc. It also discusses the steps involved in a typical image processing system, such as image acquisition, preprocessing, enhancement, restoration, compression, segmentation, representation, description, recognition, etc. It also gives some examples of image processing applications in various domains.
Chapter 2: Image Enhancement in Spatial Domain
This chapter deals with the techniques of image enhancement in the spatial domain, which are based on direct manipulation of the pixel values of the image. It covers the topics of histogram processing, such as histogram equalization and specification, and spatial filtering, such as linear and nonlinear filters, smoothing and sharpening filters, etc.
Chapter 3: Image Enhancement in Frequency Domain
This chapter deals with the techniques of image enhancement in the frequency domain, which are based on transforming the image from the spatial domain to the frequency domain using Fourier transform or other transforms. It covers the topics of frequency domain filtering, such as ideal, butterworth and gaussian filters, low-pass and high-pass filters, band-pass and band-reject filters, etc.
Chapter 4: Image Restoration
This chapter deals with the techniques of image restoration, which are aimed at improving the quality of degraded images due to noise, blur, distortion, etc. It covers the topics of noise models, such as additive and multiplicative noise, gaussian and salt-and-pepper noise, etc., and restoration techniques, such as inverse filtering, Wiener filtering, constrained least squares filtering, etc.
Chapter 5: Color Image Processing
This chapter deals with the techniques of color image processing, which are based on processing images that have more than one color component. It covers the topics of color models, such as RGB, CMYK, HSI, etc., and color image processing methods, such as color transformation, color enhancement, color segmentation, color edge detection, etc.
Chapter 6: Wavelets and Multiresolution Processing
This chapter deals with the techniques of wavelets and multiresolution processing, which are based on decomposing an image into different levels of resolution using wavelet transform or other transforms. It covers the topics of wavelet transform, such as continuous and discrete wavelet transform, wavelet basis functions, wavelet coefficients, etc., and applications of wavelets in image processing, such as image compression, denoising, edge detection, etc.
Chapter 7: Image Compression
This chapter deals with the techniques of image compression, which are aimed at reducing the amount of data required to store or transmit an image without compromising its quality. It covers the topics of fundamentals of image compression, such as redundancy and irrelevancy removal, entropy coding, lossless and lossy compression, etc., and compression standards, such as JPEG, JPEG2000, GIF, PNG, etc.
Chapter 8: Morphological Image Processing
This chapter deals with the techniques of morphological image processing, which are based on applying simple operations on binary or grayscale images using predefined shapes called structuring elements. It covers the topics of basic operations, such as erosion, dilation, opening, closing, etc., and applications of morphological image processing, such as boundary extraction, region filling, thinning, thickening, skeletonization, etc.
Chapter 9: Image Segmentation
This chapter deals with the techniques of image segmentation, which are aimed at dividing an image into meaningful regions or objects based on some criteria. It covers the topics of thresholding methods, such as global and local thresholding, adaptive thresholding, Otsu's method, etc., and region-based methods, such as region growing, region splitting and merging, watershed segmentation, etc.
Chapter 10: Representation and Description
This chapter deals with the techniques of representation and description, which are aimed at encoding and characterizing the regions or objects obtained from image segmentation using some features or descriptors. It covers the topics of boundary representation and description, such as chain codes, polygonal approximation, signature, boundary segments, etc., and region representation and description, such as moments, texture measures, shape measures, etc.
Chapter 11: Object Recognition
This chapter deals with the techniques of object recognition, which are aimed at identifying or classifying the regions or objects in an image based on their features or descriptors. It covers the topics of pattern classification and recognition techniques, such as statistical methods, structural methods, neural networks, support vector machines, etc.
How to get the book?
How to get the book?
If you are interested in getting a copy of the book \"Digital Image Processing\" by Sanjay Sharma PDF 13 version for free download, you can click on this link: www.pdfdrive.com/digital-image-processing-sanjay-sharma-ebooks.html. This website provides you with various options to download the book in different formats and sizes. However, please note that this is not an official or authorized source of the book, and we do not endorse or support any illegal distribution or piracy of the book. We recommend that you buy the original book from a reputable publisher or seller if you want to support the author and his work.
Conclusion
In conclusion, we have given you an overview of the book \"Digital Image Processing\" by Sanjay Sharma PDF 13 version, which is a comprehensive and updated text that covers the theory and practice of digital image processing with numerous examples and illustrations. The book is divided into 11 chapters that cover various topics such as image enhancement, image restoration, color image processing, wavelets and multiresolution processing, image compression, morphological image processing, image segmentation, representation and description, object recognition, etc. The book is suitable for students, teachers, researchers, and professionals who want to learn more about this fascinating field. We hope that you have found this article useful and informative. If you have any questions or feedback, please feel free to leave a comment below.
FAQs
Q: Who is the author of the book \"Digital Image Processing\"?
A: The author of the book is Sanjay Sharma, who is a professor of electronics and communication engineering at Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India.
Q: What are the prerequisites for reading the book?
A: The prerequisites for reading the book are basic knowledge of mathematics, statistics, and programming. Some familiarity with signal processing and image processing concepts would be helpful but not necessary.
Q: How many pages does the book have?
A: The book has 242 pages in total.
Q: How can I get a copy of the book?
A: You can get a copy of the book by buying it from a reputable publisher or seller, or by downloading it from an unofficial source (at your own risk).
Q: What are some other books on digital image processing that I can read?
A: Some other books on digital image processing that you can read are:
Digital Image Processing by Rafael C. Gonzalez and Richard E. Woods
Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins
Fundamentals of Digital Image Processing by Anil K. Jain
Digital Image Processing: An Algorithmic Approach with MATLAB by Uvais Qidwai and C.H. Chen