Robust algorithms for image transmission over asynchronous transfer mode (ATM) networks

Sethuraman Panchanathan; A. Jain

doi:10.1117/12.185948

16 September 1994 Robust algorithms for image transmission over asynchronous transfer mode (ATM) networks

Sethuraman Panchanathan, A. Jain

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185948
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Video compression is becoming increasingly important with the advent of broadband networks and compression standards. Asynchronous transfer mode (ATM) is fast emerging as a means of transferring packetized voice, video and data on high speed networks. However, transmission of data using ATM networks may result in the loss of packets when required bandwidth exceeds the available bandwidth or when there is a buffer overflow at the receiver. Compressed video transmission over ATM results in degraded picture quality because of cell losses. In this paper, we present novel techniques based on vector quantization which not only provides a good coding performance but is also robust to cell losses in ATM networks. Our simulation results indicate that the proposed techniques provide a significant improvement in the image quality over a wide range of cell loss rates.

Citation Download Citation

Sethuraman Panchanathan and A. Jain "Robust algorithms for image transmission over asynchronous transfer mode (ATM) networks", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185948

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available