DocumentCode
2606444
Title
Some applications of bounded error parameter estimation in image compression
Author
Rao, Ashok K. ; Huang, Yih-Fang
Author_Institution
COMSAT Labs, Clarksburg, MD, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
802
Abstract
Applications of bounded error parameter estimation in the field of image compression are described. A bounded error parameter estimator is shown to improve the performance of an adaptive predictive compression scheme. The quantization of discrete cosine transform coefficients is viewed from a parameter bounding perspective and bounds for the coefficient quantization error are derived. They can be used to keep the reconstructed image sample quantization error within bounds
Keywords
adaptive codes; data compression; discrete cosine transforms; image coding; image reconstruction; parameter estimation; prediction theory; adaptive predictive compression scheme; bounded error parameter estimation; coefficient quantization error; discrete cosine transform coefficients; image compression; quantization; reconstructed image; sample quantization error; Discrete cosine transforms; Error analysis; Image coding; Image reconstruction; Least squares approximation; Parameter estimation; Pulse modulation; Quantization; Signal processing algorithms; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.393844
Filename
393844
Link To Document