Image processing was first implemented in Newspaper industry, in 1920's. At that time, sending an image from one city to other was a very time consuming process and use to take hours for its completion. It was preferable to send text news to save time. Image processing at that time was meant for transferring an image through some communication channel to some remote location. With the passage of time, as the technology evolved, image processing field also evolved and become a most useful way to represent information. The applications of image processing field become vast in all the areas and implemented with almost all major technology implications.

In this book it is being attempted to implement basic JPEG compression using only basic MATLAB functions. Here we use the lossy compression technique where data loss can not effect the image clarity in this area. JPEG image compression addresses the problem of reducing the amount of data required to represent a digital image. It is also used for reducing the redundancy that is nothing but avoiding the duplicate data. It is also used for reduce the storage compression area to load an image, for this purpose we are using JPEG. This book describes the successful implementation of JPEG image compression by using the MATLAB software.