DocumentCode
2833348
Title
Low-complexity scalable DCT image compression
Author
Van Der Vleuten, Rene J. ; Kleihorst, Richard P. ; Hentschel, Christian
Author_Institution
Philips Res. Lab., Eindhoven, Netherlands
Volume
3
fYear
2000
fDate
2000
Firstpage
837
Abstract
We have developed a scalable image compression scheme with a good performance-complexity trade-off. Like JPEG, it is based on the 8×8 block discrete cosine transform (DCT), but it uses no additional quantization or entropy coding (such as Huffman or arithmetic coding). Bit-rate or quality scalability is enabled by encoding the DCT coefficients bit plane by bit plane, starting at the most significant plane. The individual bit planes are efficiently encoded using simple rectangular zones. Our method offers about the same compression performance as JPEG, but at a lower complexity and with the additional feature of scaling the bit rate by simply truncating the generated bit string
Keywords
adaptive signal processing; computational complexity; data compression; discrete cosine transforms; image coding; DCT coefficients; JPEG; adaptive rectangular zones; bit plane encoding; bit-rate scalability; compression performance; discrete cosine transform; generated bit string truncation; low-complexity scalable DCT image compression; performance-complexity trade-off; quality scalability; Arithmetic; Bit rate; Discrete cosine transforms; Image coding; Laboratories; PSNR; Quantization; Scalability; Transform coding; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899586
Filename
899586
Link To Document