Home Higher Education Engineering Journals & Research Papers Computer Science Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images
Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images

Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images

5681 Views
MRP : ₹10.00
Price : ₹5.00
You will save : ₹5.00 after 50% Discount
Inclusive of all taxes
INSTANT delivery: Read it now on your device

Save extra with 2 Offers

Get ₹ 50

Instant Cashback on the purchase of ₹ 400 or above
SAVE05 Already Applied

Product Specifications

Publisher PUBLIC DOMAIN All Computer Science books by PUBLIC DOMAIN
Author: K. Seetharaman and V. Rekha
Number of Pages 15
Available
Available in all digital devices
  • Snapshot
  • About the book
Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images - Page 1 Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images - Page 2 Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images - Page 3 Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images - Page 4 Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images - Page 5

 

Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images
 

Tags: Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images Computer Science Computer Science English Computer Science Textbook

Related Computer Science Books

More books by PUBLIC DOMAIN
More Computer Science
More Journals & Research Papers