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