Title :
Influence of lossy compression techniques on processing precision of astronomical images
Author :
Hanzlík, Pavel ; Pàta, Petr ; Schindler, Jaromír ; Vítek, Stanislav
Author_Institution :
Dept. of Radioelectronics, Czech Tech. Univ., Prague
Abstract :
Compression of image data from Burst Observer and Optical Transient Exploring System (BOOTES) is discussed. BOOTES project is an international robotic telescope for optical transient of gamma ray bursts (GRB). The statistical distribution of image functions in astronomical images from wide field and deep sky cameras is compared with Gaussian and Laplacean probability density function (pdj). The comparison of two irrelevancy reduction methods is presented from a scientific (astrometry and photometry) point of view. First one is based on a statistical approach to data compression and it is suggested from the Karhunen-Loeve transform (KLT) with uniform quantization in spectral domain. Second technique is derived from wavelet decomposition with adaptive choosing of used mother wavelet
Keywords :
Gaussian processes; Karhunen-Loeve transforms; astronomical telescopes; astronomy computing; data compression; image processing; statistical distributions; Burst Observer and Optical Transient Exploring System; Gaussian probability density function; Karhunen-Loeve transform; Laplacean probability density function; astronomical images; gamma ray bursts; image data compression; international robotic telescope; lossy compression techniques; statistical distribution; Cameras; Gamma ray bursts; Image coding; Karhunen-Loeve transforms; Optical losses; Optical variables control; Probability density function; Robot vision systems; Statistical distributions; Telescopes;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577121