Image and video wavelet coding for noisy channels

Nick G. Kingsbury; David W. Redmill

doi:10.1117/12.271707

3 April 1997 Image and video wavelet coding for noisy channels

Nick G. Kingsbury, David W. Redmill

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271707
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

We describe techniques of encoding compressed images and video such that the encoded bit stream is resilient to transmission errors which occur on typical noisy channels, particularly to and from mobile users. These errors may occur in the form of random bit errors, bursty bit errors or packet losses, or combinations of these, and the proposed techniques are shown to suffer only gradual and graceful degradation as the error rate increases. This contrasts markedly with the severe error sensitivity of conventional image compression standards, such as JPEG and MPEG. A key tool that we employ is the error resilient entropy code (EREC)⁶ which largely overcomes the problems of loss of synchronization and severe error propagation, inherent in most entropy coded data streams. Unlike traditional forward error correction methods, the error-resilient techniques which we employ do not add significant redundancy to the compressed data and therefore do not waste capacity or degrade the compression performance under good channel conditions. They are shown to work particularly well with wavelet compression because the localized image defects, which errors do cause, are less visible with wavelets than with DCT-based compression, due to the smoother boundaries of the wavelet basis functions.

Citation Download Citation

Nick G. Kingsbury and David W. Redmill "Image and video wavelet coding for noisy channels", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271707

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