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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899586