DocumentCode :
86058
Title :
Fast Image Upsampling via the Displacement Field
Author :
Lingfeng Wang ; Huaiyu Wu ; Chunhong Pan
Author_Institution :
Dept. of Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China
Volume :
23
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
5123
Lastpage :
5135
Abstract :
In this paper, we present a fast image upsampling method within a two-scale framework to ensure the sharp construction of upsampled image for both large-scale edges and small-scale structures. In our approach, the low-frequency image is recovered via a novel sharpness preserving interpolation technique based on a well-constructed displacement field, which is estimated by a cross-resolution sharpness preserving model. Within this model, the distances of pixels on edges are preserved, which enables the recovery of sharp edges in the high-resolution result. Likewise, local high-frequency structures are reconstructed via a sharpness preserving reconstruction algorithm. Extensive experiments show that our method outperforms current state-of-the-art approaches, based on quantitative and qualitative evaluations, as well as perceptual evaluation by a user study. Moreover, our approach is very fast so as to be practical for real applications.
Keywords :
image reconstruction; image sampling; interpolation; cross-resolution sharpness preserving reconstruction algorithm; displacement field; fast image upsampling method; high-frequency structures; high-resolution image; image construction; image reconstruction; interpolation technique; large-scale edges; low-frequency image; small-scale structures; two-scale framework; Image edge detection; Image reconstruction; Image resolution; Interpolation; Kernel; Mathematical model; Vectors; Image upscaling; Superresolution; displacement field; super-resolution;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2014.2360459
Filename :
6910250
Link To Document :
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