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Digital Image Processing By Jayaraman S, Veerakumar T, Esakkirajan S


Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S




Digital image processing is the field of study that deals with the manipulation and analysis of digital images using various techniques and algorithms. Digital image processing has many applications in fields such as computer vision, medical imaging, remote sensing, biometrics, security, multimedia and art.




digital image processing by jayaraman s, veerakumar t, esakkirajan s



One of the most comprehensive and up-to-date books on digital image processing is Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S. This book provides a clear, pragmatic and illustrative approach to the theory and practice of digital image processing. It covers topics such as image fundamentals, image enhancement, image restoration, image segmentation, image compression, image encryption, image watermarking, morphological operations, edge detection, feature extraction, pattern recognition and object recognition.


The book also includes practical examples and MATLAB applications that help in bringing the theory to life. The book is suitable for students and practicing engineers who want to learn the concepts, techniques and algorithms of digital image processing in a systematic and easy-to-understand manner.


If you are interested in learning more about digital image processing by Jayaraman S, Veerakumar T, Esakkirajan S, you can buy the book from Tata McGraw Hill Education or Google Books. You can also read some of the reviews from other readers who have found the book useful and informative.


Benefits of Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S




Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S has many benefits for anyone who wants to learn or improve their skills in digital image processing. Some of the benefits are:


  • The book is comprehensive and covers all the essential topics of digital image processing in a logical and coherent manner.



  • The book is up-to-date and reflects the latest developments and trends in digital image processing.



  • The book is pragmatic and focuses on the practical aspects of digital image processing rather than the mathematical details.



  • The book is illustrative and uses many figures, diagrams and tables to explain the concepts and algorithms clearly and visually.



  • The book is interactive and provides many exercises, problems and projects at the end of each chapter to test the understanding and application of the concepts.



  • The book is user-friendly and provides many MATLAB codes and functions that can be used to implement the algorithms and perform the experiments.



Conclusion




Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S is one of the best books on digital image processing that you can find. It is a comprehensive, up-to-date, pragmatic, illustrative and interactive book that will help you learn the theory and practice of digital image processing in a simple and effective way. Whether you are a student or a professional engineer, you will find this book valuable and helpful for your learning and career goals.


Topics Covered in Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S




Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S covers a wide range of topics that are essential for understanding and applying digital image processing. The book is divided into 14 chapters, each covering a specific topic in detail. The topics covered in the book are:


  • Image Fundamentals: This chapter introduces the basic concepts and terminology of digital image processing, such as image representation, sampling, quantization, resolution, histogram, spatial and frequency domains, etc.



  • Image Enhancement: This chapter discusses various techniques for improving the quality and appearance of digital images, such as contrast stretching, histogram equalization, gray level transformation, spatial filtering, frequency domain filtering, etc.



  • Image Restoration: This chapter deals with the problem of restoring degraded images due to noise, blur, motion, etc. It covers topics such as noise models, inverse filtering, Wiener filtering, constrained least squares filtering, blind deconvolution, etc.



  • Image Segmentation: This chapter focuses on the process of dividing an image into meaningful regions or objects based on some criteria, such as intensity, color, texture, shape, etc. It covers topics such as thresholding, region growing, region splitting and merging, edge detection, boundary detection, Hough transform, etc.



  • Image Compression: This chapter explains the need and methods for reducing the amount of data required to store or transmit digital images. It covers topics such as compression fundamentals, lossless compression techniques (Huffman coding, run length coding, LZW coding), lossy compression techniques (JPEG standard), wavelet based compression techniques (JPEG 2000 standard), etc.



  • Image Encryption: This chapter explores the techniques for securing digital images from unauthorized access or modification. It covers topics such as encryption fundamentals, symmetric key encryption techniques (DES algorithm), asymmetric key encryption techniques (RSA algorithm), chaotic encryption techniques (Lorenz system), etc.



  • Image Watermarking: This chapter describes the techniques for embedding hidden information or data into digital images for authentication or ownership protection purposes. It covers topics such as watermarking fundamentals, spatial domain watermarking techniques (LSB method), frequency domain watermarking techniques (DCT method), wavelet domain watermarking techniques (DWT method), etc.



Morphological Operations: This chapter introduces the concepts and applications of mathematical morphology in digital image processing. It covers topics such as morphological operations (erosion,




  • Edge Detection: This chapter reviews the various techniques for detecting edges or boundaries in digital images. It covers topics such as edge detection fundamentals, gradient based edge detection (Sobel operator, Prewitt operator, Roberts operator), Laplacian based edge detection (Laplacian operator, LoG operator), Canny edge detector, etc.



  • Feature Extraction: This chapter presents the techniques for extracting useful information or features from digital images for further analysis or recognition. It covers topics such as feature extraction fundamentals, point features (corners, interest points), line features (Hough transform), region features (moments, shape descriptors), texture features (co-occurrence matrix, Gabor filter), color features (color histogram, color moments), etc.



  • Pattern Recognition: This chapter explains the methods for classifying or recognizing patterns or objects in digital images based on their features. It covers topics such as pattern recognition fundamentals, supervised learning techniques (Bayesian classifier, k-nearest neighbor classifier, support vector machine classifier), unsupervised learning techniques (k-means clustering, hierarchical clustering), neural network techniques (perceptron, multilayer perceptron, backpropagation algorithm), etc.



  • Object Recognition: This chapter explores the techniques for identifying or locating specific objects in digital images based on their appearance or shape. It covers topics such as object recognition fundamentals, template matching techniques (correlation method, distance method), feature based techniques (SIFT method, SURF method), shape based techniques (geometric hashing method, Hausdorff distance method), etc.



  • Image Processing Applications: This chapter illustrates some of the applications of digital image processing in various domains such as medical imaging (X-ray imaging, MRI imaging, CT imaging), remote sensing (satellite imaging, aerial imaging), biometrics (face recognition, fingerprint recognition), security (steganography, watermarking), multimedia (image compression, image encryption), art (image restoration, image enhancement), etc.



Summary




Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S is a comprehensive book that covers all the essential topics of digital image processing in a clear and pragmatic way. The book provides many examples and MATLAB codes that help in understanding and implementing the concepts and algorithms. The book is suitable for anyone who wants to learn or improve their skills in digital image processing.


Digital Image Processing by Jayaraman S, Veerakumar T, Esakkirajan S is a comprehensive book that covers all the essential topics of digital image processing in a clear and pragmatic way. The book provides many examples and MATLAB codes that help in understanding and implementing the concepts and algorithms. The book is suitable for anyone who wants to learn or improve their skills in digital image processing. 6c859133af


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