Digital image processing is a very popular and rapidly growing area of application under computer science engineering. Its growth leads by technological innovations in the fields of digital imaging, computer processing and mass storage devices. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. It is now being used to solve a wide variety of problems. Though unrelated, these problems commonly require methods capable of enhancing information for human visual interpretation and analysis. The Image processing Procedures such as Image enhancement and restoration are used to process degraded or blurred images. Successful applications of image processing concepts are found in astronomy, defense, medical and industrial applications.

Digital Image Processing integrates several recent advances that are related to digital image processing, analyzing and visualization function with the motive of providing an insight into the possibilities offered by digital image processing algorithms in various fields. The presented mathematical algorithms are accompanied by graphical representations and illustrative examples for an enhanced readability. Image play a very important role in every aspect of life and it play a vital role in the area of research of digital image processing. So, production of noise free image is very much essential in the field medical science, astronomy, film industry and in many more. Digital image processing is combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence.

This book will fellow students, practitioners and scientists will be able to use it to understand the development of the presented subjects even further.