From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provide fresh perspectives on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Improved Image and restoration, including noise and filtering model * Segmentation schemes, and classification and object recognition * 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 facial recognition and signature verification * Distance feel the images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamental image compression, including JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theories and techniques, as well as bibliographies for researching specialized topics.