Title :
Image resizing in the discrete cosine transform domain
Author :
Martucci, Stephen A.
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
Abstract :
Image resizing is a task that must often be done when processing digital images. We present a novel approach to resize images by operating entirely in the discrete cosine transform (DCT) domain. We implement the lowpass filter for anti-aliasing or anti-imaging using the convolution-multiplication property of the DCT. We perform the equivalent of pixel-domain downsampling or upsampling by simple manipulation of the DCT coefficients. Our approach can be used as a standalone image resizing tool or it can be integrated into any image compression system based on a block DCT, such as JPEG, to provide an image resizing capability with relatively little additional complexity
Keywords :
convolution; data compression; discrete cosine transforms; filtering theory; image coding; image sampling; low-pass filters; transform coding; DCT coefficients; DCT domain; JPEG; antialiasing; antiimaging; block DCT; convolution-multiplication property; digital image preprocessing; discrete cosine transform domain; image coding; image compression system; image resizing; lowpass filter; pixel domain downsampling; standalone image resizing tool; upsampling; Convolution; Digital filters; Digital images; Discrete cosine transforms; Explosions; Filtering; Image coding; Image processing; Image sampling; Interpolation;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537460