Title :
Low-complexity scalable image compression
Author :
Van Der Vleuten, Rene J. ; Kleihorst, R.P.
Author_Institution :
Philips Res. Lab., Eindhoven, Netherlands
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 significant lower complexity and with the additional feature of scaling the bit rate by simply truncating the generated bit string
Keywords :
computational complexity; data compression; discrete cosine transforms; image coding; transform coding; DCT encoding; bit string truncation; bit-rate scalability; block discrete cosine transform; compression performance; low-complexity image compression; quality scalability; rectangular zones; scalable image compression; Arithmetic; Bit rate; Discrete cosine transforms; Discrete wavelet transforms; Entropy coding; Image coding; Laboratories; PSNR; Transform coding; Wavelet transforms;
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-0592-9
DOI :
10.1109/DCC.2000.838142