Title :
Image spatial transformation in DCT domain
Author :
Feng, Guocan ; Jiang, Jianmin
Author_Institution :
Sch. of Comput., Univ. of Glamorgan, UK
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper, we report work on generalizing spatial relationships between the DCTs of any block and its sub-blocks, which paves the way for image processing in the JPEG compressed domain. The results reveal that DCT coefficients of any block can be directly obtained from the DCT coefficients of its sub-blocks and the inter-block relationship remains to be linear. Due to the fact that the corresponding coefficient matrix of linear combination is sparse, the computational complexity of the proposed algorithms is significantly lower than that of the existing methods
Keywords :
computational complexity; data compression; discrete cosine transforms; image coding; sparse matrices; transform coding; DCT domain; JPEG compressed domain; block; coefficient matrix; computational complexity; image processing; image spatial transformation; inter-block relationship; linear combination; sparse matrix; spatial relationships; sub-blocks; Computational complexity; Cost function; Discrete cosine transforms; Image coding; Image edge detection; Image processing; Indexing; Karhunen-Loeve transforms; Sparse matrices; Transform coding;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958250
