Paper
16 June 1997 Nonuniform quantization of the image in infrared remote sensing systems: ways and devices for its elimination
Alexey G. Mihno, Sergey A. Pokotilo
Author Affiliations +
Abstract
The noises of discretion, which accompany the quantization process of analogue signal, render essential influence on quality of the formed images in digital infrared remote sensing systems (DIRRSS). The uniform quantization question of analogue signals and their restoration are detail investigated and submitted in the scientific literature. However, as a result of casual change of movement parameters and orientation of an equipment carrier during the observation of various surfaces by DIRRSS, situations, when the value of an input signal quantization frequency is unknown or changes under the casual law with known density of probability, arise. In this case the input signal of system is subjected by the nonuniform quantization. For elimination of the image distortions during the restoration connected with nonuniform quantization it is necessary to decide an adaptive control problem by spatial quantization periods depending on casually varied parameters of observation. The influence of nonuniform quantization to quality of the image in DIRRSS is analyzed in the article. Expression of a spatial-frequency spectrum of 2D nonuniform quantization signal is received. The slanting scanning method and its combination with hexagonal raster are offered as effective methods of elimination of image nonuniform quantization. The schematic decision and work algorithm of the device for realization of a method of slanting scanning in combination with hexagonal sampling are offered.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexey G. Mihno and Sergey A. Pokotilo "Nonuniform quantization of the image in infrared remote sensing systems: ways and devices for its elimination", Proc. SPIE 3063, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII, (16 June 1997); https://doi.org/10.1117/12.276082
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Quantization

Thermography

Image quality

Receivers

Raster graphics

Remote sensing

Sensing systems

RELATED CONTENT


Back to Top