ADVANCEMENTS IN DIGITAL IMAGE PROCESSING

This book discusses the use of big data and the technology of
digital image processing in a variety of contexts. The information
presented here will help the reader gain an appreciation for the
technology and methods utilised in digital image processing and the
management of large data utilising machine learning. Students and
researchers in subjects including engineering, agriculture, and
medical imaging can benefit greatly from reading this book. The
ability to grasp and critically evaluate cutting-edge digital imaging
technologies is essential. This book will so address: Today’s digital

cameras and other imaging devices rely on a sub-pattern bare-
pattern colour, therefore new ideas in colour interpolation are

required to obtain the full colour. There is a need for standardized
methods of image compression to accommodate a wide range of uses.
The use of remote sensing in agriculture, design, medicine, traffic
management, education, innovation, and analysis .Discussion of
both soft and hard computing techniques in depth as they pertain to
significant image processing tasks Current and future research in a
wide variety of image processing fields A detailed list of sources for
further study. This book covers both classic and cutting-edge
methods used in the fields of image processing and data science, as
well as the theoretical underpinnings of each. It also serves as a
comprehensive reference for both novice and expert practitioners of
image analysis and data science.