Title :
Fast algorithms for DCT-domain image downsampling and for inverse motion compensation
Author :
Merhav, Neri ; Bhaskaran, Vasudev
Author_Institution :
Dept. of Electr. Eng., HP Israel Sci. Center, Haifa, Israel
fDate :
6/1/1997 12:00:00 AM
Abstract :
Straightforward techniques for spatial domain processing of compressed video via decompression and recompression are computationally expensive. We describe an alternative approach wherein the compressed stream is processed in the compressed, discrete cosine transform (DCT) domain without explicit decompression and spatial domain processing, so that the output compressed stream, corresponding to the output image, conforms to the standard syntax of 8×8 blocks. We propose computation schemes for downsampling and for inverse motion compensation that are applicable to any DCT-based compression method. Worst case estimates of computation savings vary between 37% and 50% depending on the task. For typically sparse DCT blocks, the reduction in computations is more dramatic. A by-product of the proposed approach is improvement in arithmetic precision
Keywords :
discrete cosine transforms; image sampling; inverse problems; motion compensation; motion estimation; transform coding; video coding; DCT based compression method; DCT domain image downsampling; arithmetic precision improvement; compressed discrete cosine transform domain; compressed stream processing; compressed video; computation savings; computation schemes; computational complexity; fast algorithms; inverse motion compensation; output compressed stream; output image; sparse DCT blocks; spatial domain processing; worst case estimates; Arithmetic; Discrete cosine transforms; Image coding; Image processing; Laboratories; Motion compensation; Streaming media; Transform coding; Video compression; Workstations;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on