Sensor data reduction and implementation for IR image transmission

Hans Georg Musmann; Roland Mech; Joerg Hilgenstock

doi:10.1117/12.328043

26 October 1998 Sensor data reduction and implementation for IR image transmission

Hans Georg Musmann, Roland Mech, Joerg Hilgenstock

Proceedings Volume 3436, Infrared Technology and Applications XXIV; (1998) https://doi.org/10.1117/12.328043
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

For coding of image sequences taken by an airborne IR sensor, an object-based coding method using MPEG-4 coding tools is investigated. In order to encode the landscape, current frame- based MPEG-4 coding is extended by global motion compensation, as proposed for MPEG-4 version 2, and by a sprite coding technique. This VOP0 encoder saves the bit-rate of the motion vectors due to global motion compensation and provides an additional bit-saving by not transmitting sprite prediction errors. Only extensions of the sprite are encoded. Object- based MPEG-4 coding by the VOP1 encoder is used for encoding moving objects, if the size of a moving object exceeds the size of a 16*16 pel macroblock. Thus, the data rate of the VOP0 and VOP1 coding depends on the size of the sprite extension area and the size of moving objects in the scene. Compared to frame-based MPEG-4 coding which reduces the bit rate by a factor of about 25 without visible distortions an additional compression factor of 2 can be achieved. To facilitate an implementation of the MPEG-4 coding tools a high computation power in combination with frequent access on varying positions of the entire image is required. Therefore, a flexible, parallel, high performance video signal processor architecture called PRISMA has been designed that employs a novel controlling scheme, called associative controlling.

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Hans Georg Musmann, Roland Mech, and Joerg Hilgenstock "Sensor data reduction and implementation for IR image transmission", Proc. SPIE 3436, Infrared Technology and Applications XXIV, (26 October 1998); https://doi.org/10.1117/12.328043

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KEYWORDS

Signal processing

Video

Image compression

Computer programming

Video processing

Sensors

Image segmentation

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