DocumentCode
2604278
Title
Image compression using the spatial-orientation tree
Author
Said, Amir ; Pearlman, William A.
Author_Institution
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
279
Abstract
The zero-tree method for image compression, proposed by J. Shapiro (1992), is studied. The method is presented in a more general perspective, so that its characteristics can be better understood. From this analysis, an improved method is proposed, and it is shown that the new method can increase the PSNR up to 1.3 dB over the original method
Keywords
data compression; image coding; PSNR; image compression; mean square error; spatial-orientation tree; zero-tree method; Decoding; Distortion measurement; Image coding; Image communication; Image reconstruction; PSNR; Partitioning algorithms; Pixel; Proposals; Systems engineering and theory;
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.1993.393712
Filename
393712
Link To Document