Quality Estimation in Image Processing Using Wavelet Families

ISBN-13: 9783659185427 / Angielski / Miękka / 2012 / 164 str.

Sarita Kumari

Opis

Compression of digital images has been a topic of research for many years and a number of image compression standards have been created for different applications. The role of compression is to reduce bandwidth requirements for transmission and memory requirements for storage of all forms of data. While today more than ever before new technologies provide high speed digital communications and large memories, image compression is still of major importance, because along with the advances in technologies there is increasing demand for image communications, as well as demand for higher quality image printing and display. The evolution in image compression is mainly attributed to the need of rapid and efficient techniques for the storage and transmission of data among individuals. In this book, we studied the performance of different wavelet basis functions for image coding algorithm. We characterized the performance of the wavelet coefficients and the coding algorithm by calculating the compression ratio, root mean square error, peak signal to noise ratio, redundancy, entropy and retained energy of the reconstructed grey scale as well as color images.

O autorze

Kumari, SaritaDr.Sarita Kumari received her Ph.D.degree from Bansthali University in 2011.Since 2005 she is working as a faculty member in the Department of Physics at Banasthali University. Her main research area is Image processing. She is life member of International Association of Engineers (IAENG) and World Academy of Science, Engineering and Technology