Skip to Main Content
Image and Video Compression
book

Image and Video Compression

by Madhuri A. Joshi, Mehul S. Raval, Yogesh H. Dandawate, Kalyani R. Joshi, Shilpa P. Metkar
November 2014
Intermediate to advanced content levelIntermediate to advanced
236 pages
7h 4m
English
CRC Press
Content preview from Image and Video Compression
81
5
Image Compression Using
Vector Quantization
Vector quantization is an efcient technique used for compressing images. It
is based on the Shannon rate distortion theory, which says that better com-
pression is achieved if samples are coded using vectors instead of scalars.
The nite vectors of pixels are stored in a memory called codebook, which
is used for coding and decoding the images. The image to be compressed is
divided into blocks and called input vectors and are compared with vectors
in memory called codevectors for matches based on some distance criteria.
If the codevector matches the input vector, an index or address of memory
location ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Document and Image Compression

Document and Image Compression

Mauro Barni

Publisher Resources

ISBN: 9781482228229