Title :
Compression ratio boundaries for predictive signal compression
Author :
Pianykh, Oleg S. ; Tyler, John M.
Author_Institution :
Dept. of Radiol., Louisiana State Univ. Med. Center, New Orleans, LA, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
Predictive regressional models like DPCM are widely used in digital signal compression. This paper analyzes the relationship that exists between the predictive model fitness and the resultant reduction of the first-order signal entropy, and finds the lossless compression ratio C as a function of predictive model correlation ρ
Keywords :
correlation methods; data compression; differential pulse code modulation; entropy; image coding; prediction theory; DPCM; compression ratio boundaries; digital signal compression; first-order signal entropy reduction; image compression; lossless compression ratio; predictive model correlation; predictive model fitness; predictive regressional models; predictive signal compression; Decorrelation; Digital images; Discrete cosine transforms; Entropy; Image coding; Pixel; Predictive models; Signal analysis; Transform coding; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
