Title :
A no-reference Spatial Aliasing Measure for digital image resizing
Author :
Reibman, Amy R. ; Suthaharan, Shan
Author_Institution :
AT&T Labs. - Res., Florham Park, NJ
Abstract :
We present a no-reference spatial aliasing measure (SAM) for images, that assesses the impact of visual jaggy edges in resized digital images. The measure makes use of the fact that visible spatial aliasing is likely to occur in areas with strong directional energy. In these regions, aliasing energy often appears in frequency regions that have little image content. We show the effectiveness of SAM using a subjective test.
Keywords :
image reconstruction; aliasing energy; digital image resizing; no-reference spatial aliasing measure; visual jaggy edges; Area measurement; Degradation; Digital images; Energy measurement; Filters; Frequency; Image coding; Image quality; Pixel; Testing; Image quality; aliasing; image resizing; image scaling; jagginess;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711972