Title :
Hybrid KLT-SVD image compression
Author :
Waldemar, Patrick ; Ramstad, Tor A.
Author_Institution :
Dept. of Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Abstract :
This paper investigates a transform adaptation technique, applied to transform coding of images, as a way of exploiting the variation in local statistics within an image. The method makes use of the relationship between the Karhunen-Loeve transform (KLT) and singular value decomposition (SVD), and their energy compaction properties. We compare this approach to a standard KLT coding system. Motivated by increased coding efficiency an analysis-by-synthesis approach using switching between the KLT coding system and the hybrid KLT-SVD system is proposed. The switching is implemented using a global rate-distortion criterion. The results are encouraging and the proposed techniques provide new insights on how to use SVD in an image compression system
Keywords :
data compression; image coding; rate distortion theory; singular value decomposition; transform coding; transforms; Karhunen-Loeve transform; analysis-by-synthesis approach; coding efficiency; energy compaction properties; global rate-distortion criterion; hybrid KLT-SVD image compression; image coding; singular value decomposition; transform adaptation technique; transform coding; Compaction; Covariance matrix; Image coding; Karhunen-Loeve transforms; Least squares approximation; Marine vehicles; Singular value decomposition; Statistics; Switches; Transform coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595349