Fixed and Adaptive Interframe Image Prediction for Remote Piloting Application.
Abstract
Digital image processing has gained considerable importance due to its numerous applications in the aerospace, biomedical, commercial television and video teleconferencing systems. The availability of super-fast chips for digital data processing has made the hardware implementation of the image processing algorithms feasible for satellite applications due to the reduction achieved in weight, size and power consumption. A considerable amount of work done in the area of image processing has focused on coding, bandwidth compression and pattern recognition. In this work, we focus on the estimation of image data using past statistics. We are interested in an on-line prediction of the next few frames of a video sequence using the available frames. The problem is that of parameter identification of a time-varying system using a priori knowledge. We apply estimation theory concepts and derive a fixed predictor as well as one that is adaptive, i.e., one which predicts frames by analyzing the data which was received most recently. Keywords: Image processing, Fixed predictor, Adaptive predictor, Motion estimation, Remote piloting.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1987
- Accession Number
- ADA187987
Entities
People
- Manorama G. Raghavender
Organizations
- University of Illinois Urbana–Champaign