There is a growing demand of image processing in diverse application areas, such as multimedia computing, secured image data communication, biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, compression, and so on. As a result, it has become extremely important to provide a fresh look at the contents of an introductory book on image processing. We attempted to introduce some of these recent developments, while retaining the classical ones.The first chapter introduces the fundamentals of the image processing techniques, and also provides a window to the overall organization of the book. The second chapter deals with the principles of digital image formation and representation. The third chapter has been devoted to color and color imagery. In addition to the principles behind the perception of color and color space transforation, we have introduced the concept of color interpolation or demosaicing, which is today an integrated part of any color imaging device. We have described various image transformation techniques in Chapter4. Wavelet transformation has become very popular in recent times for its many salient features. Chapter 5 has been devoted to wavelet transformation.The importance of understanding the nature of noise prevalent in various types of images cannot be overemphasized. The issues of image enhancement and restoration including noise modeling and filtering have been detailed in Chapter6. Image segmentation is an important task in image processing and pattern recognition. Various segmentation schemes have been elaborated in Chapter7. Once an image is appropriately segmented, the next important task involves classification and recognition of the objects in the image. Various pattern classification and object recognition techniques have been presented in Chapter8. Texture and shape play very important roles in image understanding. A number of texture and shape analysis techniques have been detailed in Chapter 9.In sharp contrast with the classical crisp image analysis, fuzzy set theoretic approaches provide elegant methodologies for many image processing tasks. Chapter 10 deals with a number of fuzzy set theoretic approaches. We introduce content-based image retrieval and image mining in Chapter Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including:
* Image transformation techniques, including wavelet transformation and developments
* Image enhancement and restoration, including noise modeling and filtering
* Segmentation schemes, and classification and recognition of objects
* Texture and shape analysis techniques
* Fuzzy set theoretical approaches in image processing, neural networks, etc.
* Content-based image retrieval and image mining
* Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification
* Remotely sensed images and their applications
* Principles and applications of dynamic scene analysis and moving object detection and tracking
* Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: Image transformation techniques, including wavelet transformation and development, Image enhancement and restoration, indluding noise modeling and filtering, Segmentation schemes, and classification and recognition of objects, Texture and shape analysis techniques Fuzzy set theoretical approaches in image processing, neural network, etc. Content-based image retrieval and image mining, Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification, Remotely sensed images and their applications, Principles and applications of dynamic scene analysis and moving object detection and tracking, Fundamentals of image compression, including the JPEG standard and the new JPEG 2000 standard. "Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field." "Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering."--Jacket
