Digital Image Compression and Hierarchical Decomposition

Image Compression plays a very important role in all multimedia services by reducing the number of bytes or bandwidth required to store or transmit the data. A real time based approach for image compression have been developed with the help of hierarchical decomposition and prediction. Keeping in view, the need of hour, this book should help to understand the consequences of hierarchical decomposition and prediction on predicted and reconstructed images. Analysis have been created for maximum level of decomposition of image. Proposed approach is implemented on distinct image file formats to analyse the best suitable file format for compression.This book mainly concerned with the compression at transmitting end when image is transmitted from one user to the other.

Autorentext

Kamaljeet Kainth recived the B.E degree in Electronics and Communication from Panjab University, Chandigarh in 2013, M.tech degree in ECE (Spl. in Communication Systems) from Guru Nanak Dev University, Amritsar in 2015. His research interests include Digital Image processing, Digital Signal Processing, Biomedical Image Processing.