Title :
An efficient method for DCT-domain image resizing with mixed field/frame-mode macroblocks
Author :
Yim, Changhoon ; Isnardi, Michael A.
Author_Institution :
Compression Syst. Group, Sarnoff Corp., Princeton, NJ, USA
fDate :
8/1/1999 12:00:00 AM
Abstract :
This paper deals with the discrete cosine transform (DCT)-domain image resizing as compressed domain processing. Previous DCT-domain image resizing methods assume that all macroblocks are in the frame-mode. We propose an efficient method for DCT-domain image resizing with mixed field/frame-mode macroblocks. This method is developed from the investigation of the DCT-domain image resizing operation through a decomposition of matrix operations, from which we define new downsampling matrices for frame- and field-mode macroblocks. This leads to new frame- and field-mode resizing transformation matrices for DCT-domain image resizing. The proposed DCT-domain image resizing method can be used when there are mixed field/frame-mode macroblocks
Keywords :
data compression; discrete cosine transforms; image coding; image sampling; matrix decomposition; transform coding; DCT-domain image resizing; compressed domain processing; discrete cosine transform; downsampling matrices; field-mode resizing transformation matrices; frame-mode resizing transformation matrices; matrix operations decomposition; mixed field/frame-mode macroblocks; video compression standards; Digital TV; Discrete cosine transforms; Filtering; HDTV; Image coding; Image converters; Matrix decomposition; NIST; Transform coding; Video compression;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
