Digital Image Processing and Applications


Chandra Shekhar Rao obtained his Masters’s degree in Computer Science and Engineering in 2010 from JNT University of Hyderabad, Ph.D in Computer Science & Engineering in 2019 from JNTU Hyderabad, Telangana, India. His research interests are in Knowledge Discovery, Data Mining, Databases, Internet of Things, AI and Machine learning He published 25 reputed international journals and 6 International conferences. At present he is working as an Associate Professor in KITS, Warangal, Telangana, INDIA.

Sunkari Venkatramulu obtained his Bachelor’s degree in Computer Science and Engineering from Kakatiya University of India. Then he obtained his Master’s degree in Computer Science from JNTU .and he is pursuing PhD from Kakatiya University Warangal. He is also life member of ISTE. He is currently an Associate Professor at the Faculty of Computer Science and Engineering, Kakatiya Institute of Technology & Science (KITS), Kakatiya University Warangal. His specializations include network security, Web security, Intrusion detection

Dr. P. Sammulal received PhD in Computer Science and Engineering from Osmania University in 2010. He received his B.E degree from Osmania University in 2000 and M.Tech degree from JNT University in Computer science and Engg., in 2002.  He has published about 45 papers in International/national conferences and International/national journals. His current research interests are distributed/parallel computing, Cluster computing, Grid computing, Network security and Data Mining. At present he is working as an Professor in JNTUH College of Engineering, Nachupally, karimnager (dist), Telangana, INDIA.



The influence and impact of digital images on modern society, science, technology and art are tremendous. Image processing has become such a critical component in contemporary science 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 and is used in medical imaging, microscopy, astronomy, computer vision, geology and many other fields.

With a few exceptions, the topics of optical information processing and digital information processing are usually covered in different books, written by experts in one field or the other. It is rare that the two topics are both covered in the same volume. This book is an exception to this trend, and is notable in several different aspects, but especially in its breadth of coverage of both topics. It seems very appropriate to have both general topics covered in the same book, for optical processing systems (defined broadly) commonly include digital systems to drive the optical system and to post-process the data (example: adaptive-optic systems), while digital processing systems most commonly operate on data that has been gathered by an optical system. As a consequence, sophisticated image-gathering and handling systems today include both types of technology, a merger that grows more complete as time progresses. Indeed, even consumer-oriented devices such as digital cameras are sophisticated systems with optical and digital parts. This is a text for use in a first practical course in image processing and analysis, for final-year undergraduate or first-year graduate students with a background in biomedical engineering, computer science, radiologic sciences or physics. Designed for readers who will become “end users” of digital image processing in the biomedical sciences, it emphasizes the conceptual framework and the effective use of image processing tools and uses mathematics as a tool, minimizing the advanced mathematical development of other textbooks.

Additional information

Author Name

Book Type





Published Date




Add to cart