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
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;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393712
