Paper Info
Title
Fast algorithm of arbitrary factor subpixel downsampling based on frequency analysis
Abstract
Subpixel-based downsampling has shown its advantages over pixel-based downsampling in terms of preserving more spatial details along edges and generating sharper images, at the cost of certain amount of color-fringing artifacts in the downsampled image. To balance the sharpness and color-fringing artifacts, some algorithms are proposed to design optimal anti-aliasing (AA) filters, which are either image independent, or computationally too expensive. And all of the existing AA filters are designed for fixed downsampling factor, which makes them impractical for real applications. In this paper we propose two fast algorithms to design AA filter for arbitrary factor subpixel downsampling based on frequency analysis of the input image. The proposed algorithms generate image dependent AA filter which is as good as the state-of-the-art algorithm, but much faster.
Year
DOI
Venue
2014
10.1109/ICME.2014.6890186
ICME
Keywords
Field
DocType
subpixel-based downsampling,sharpness balance,arbitrary factor subpixel downsampling,color fringing artifact,arbitrary factor,edge preservation,image sharpening,frequency-domain analysis,image sampling,aa filters,anti-aliasing filter,fast algorithm,edge detection,filtering theory,frequency analysis,image colour analysis,anti aliasing filter,interpolation,frequency domain analysis,shape,time measurement,algorithm design and analysis,cutoff frequency
Frequency domain,Computer vision,Algorithm design,Half-band filter,Computer science,Interpolation,Algorithm,Artificial intelligence,Pixel,Subpixel rendering,Cutoff frequency,Upsampling
Conference
ISSN
Citations 
PageRank 
1945-7871
0
0.34
References 
Authors
5
6
Name
Order
Citations
PageRank
Ketan Tang110612.98
Oscar C. Au21592176.54
Lu Fang334355.27
Jiahao Pang414912.42
Yuanfang Guo59518.21
Jiali Li6499.29