Title :
A transform domain approach to spatial domain image scaling
Author :
Merhav, Neri ; Bhaskaran, Vasudev
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
Straightforward techniques for spatial domain scaling of compressed video via decompression and re-compression are computationally expensive. We describe an alternative approach wherein the compressed stream is processed in the compressed, DCT domain without explicit decompression and spatial domain scaling, so that the output compressed stream corresponds to a down-sampled image and it conforms the standard syntax of 8×8 blocks. We propose computation schemes for scaling factors of 2, 3 and 4 that are applicable to any DCT-based compression method. Worst-case estimates of computation savings very between 37% and 50% depending on the scaling factor. For typically sparse DCT blocks, the reduction in computations can be as much as 80%. A byproduct of the proposed approach is improvement in arithmetic precision
Keywords :
data compression; discrete cosine transforms; image sampling; sparse matrices; transform coding; video coding; DCT based compression method; arithmetic precision improvement; compressed DCT domain; compressed stream; compressed video; computation savings; down sampled image; output compressed stream; scaling factors; sparse DCT blocks; spatial domain image scaling; transform domain approach; worst case estimates; Arithmetic; Discrete cosine transforms; Frequency; Image coding; Laboratories; Sparse matrices; Streaming media; Transform coding; USA Councils; Video compression;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.547767