Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Parallel Image Processing

by T. Bräunl
Save 35% Save 35%
Current price ₹3,639.00
Original price ₹5,597.00
Original price ₹5,597.00
Original price ₹5,597.00
(-35%)
₹3,639.00
Current price ₹3,639.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9783642086793
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 203
  • Original Price: EUR 49.99
  • Language: English
  • Edition: Softcover Repri
  • Item Weight: 333 grams
  • BISAC Subject(s): Image Processing, Computer Architecture, and Languages / General

This book developed out of a series of publications in the area of image processing with massively parallel algorithms. The topic of image processing is a particularly promising area for the use of synchronous massively parallel or data-parallel compu- ter systems which work according to the SIMD principle (single instruction, multiple data). While the era of large SIMD super-computers has passed, SIMD systems have come back as dedicated vision subsystems and will soon be found even in embedded systems. In comparison to conventional sequential implementations of basic image opera- tions, this book illustrates the intrinsic parallelism which is almost always present in image processing. By utilising parallel algorithms it is even possible to illustrate oper- ations in a simpler and easier to understand way than for the sequential case. The presentation method chosen for this book assumes that short, terse excerpts of program code will significantly enhance the understanding of the material, e.g. of image operations, while longer listings are more likely to distract from the topic. For this reason, each chapter will not only define and explain the central image processing algorithms with the help of examples, but will also give an excerpt of a massively par- allel program. For image processing this means that at least virtually there should be one processor available for each pixel. The mapping onto a smaller number of exist- by compiler, and as of ing real processors is done transparently the such is not interest here.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us