Due to the rapid development of technologies, digital information playing a key role in our daily life and can be closely related to the social presence theory especially when referring to the social media aspect of images captured by our phones. The huge volume of stored and transmitted digital images, together with the efficient data acquisition and display techniques and devices demand novel, fast and intelligent algorithms for digital images manipulations. Therefore, Image processing has become such a critical component in contemporary sciences and technology that many tasks would not be attempted without it. It is a truly interdisciplinary subject that draws from synergistic developments involving many disciplines. The developers should be able to solve problems with an innovation, creativity and active initiators of novel ideas. However, the learning and teaching has been changed from conventional and tradition education to outcome based education. Therefore, this book prepared on a Problem-based approach and outcome based education strategies. Where the problems incorporate most of the basic principles and proceed towards implementation of more complex algorithms. This may include applications of image processing in computer vision, biometric, medical imaging and robotics. Students required to formulate in a way to achieve a well-defined goals under the guidance of their instructor. The main aim of this book is to address the fundamentals of digital image processing and computer vision i.e. image processing and computer vision taxonomy, typical problems (including image formation, quantization and coding), application areas, hierarchical levels of image processing, image enhancement, transformation, segmentation, compression, restorations, classification, recognition and Morphological Image Processing.