Real-Time Multi-Directional Data Compression Of Full Motion Video

Nicola J Fedele; Alfonse A Acampora; Richard M Bunting

doi:10.1117/12.944708

24 June 1988 Real-Time Multi-Directional Data Compression Of Full Motion Video

Nicola J Fedele, Alfonse A Acampora, Richard M Bunting

Proceedings Volume 0901, Image Processing, Analysis, Measurement, and Quality; (1988) https://doi.org/10.1117/12.944708
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

There are a number of applications that necessitate the transmission of real-time images over a narrow bandwidth channel. These applications must utilize effective data compression algorithms in order to achieve their goals. Scientists have struggled to make quality video images over narrow channels utilizing a number of techniques. Many approaches tend to dissect images, exploiting both the temporal and spatial aspects of input sequences, and then to encode the transformed sections in a convenient and efficient approach. The Pyramid Algorithm performs spatial spectral decomposition so that high frequency information can be separated from its lower frequency components. This spatial pyramid transform is integrated into a system which utilizes both spatial and temporal correlation of real-time video sequences; the result is a robust system configuration that meets the required compression. The best acceptable image, given a specific data rate, is achieved by adaptively selecting either a spatial or a temporal algorithm on a pixel-by-pixel basis. Aspects of moving sequences can be classified so as to choose the best algorithm to minimize visible disturbances for that particular class.

Citation Download Citation

Nicola J Fedele, Alfonse A Acampora, and Richard M Bunting "Real-Time Multi-Directional Data Compression Of Full Motion Video", Proc. SPIE 0901, Image Processing, Analysis, Measurement, and Quality, (24 June 1988); https://doi.org/10.1117/12.944708

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