Regular price €117.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Kalyani R. Joshi
A01=Madhuri A. Joshi
A01=Mehul S. Raval
A01=Shilpa P. Metkar
A01=Yogesh H. Dandawate
advanced image compression techniques
Author_Kalyani R. Joshi
Author_Madhuri A. Joshi
Author_Mehul S. Raval
Author_Shilpa P. Metkar
Author_Yogesh H. Dandawate
Bit Rate
Category=UND
Category=UYT
Codebook Designed
Compressive Sensing
data storage optimisation
digital signal processing
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
graduate level resource
Huffman Coding
IEC JTC
Image Compression
image quality metrics
Initial Codebook
IQA
JPEG Compression
Lossless Image Compression
MATLAB programming
Measurement Matrix
MV
Psychovisual Redundancy
quantisation methods
Run Length Coding
Signal Reconstruction
Sparse Signal
Sparse Signal Recovery
Training Vectors
Ux Vy
Video Coding
Video Coding Standards
VQ
Watermarked Image
Wavelet Function
Wavelet Transform

Product details

  • ISBN 9781482228229
  • Weight: 600g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Nov 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.

Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications.

In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.

Joshi, Madhuri A.; Raval, Mehul S.; Dandawate, Yogesh H.; Joshi, Kalyani R.; Metkar, Shilpa P.

More from this author