DocumentCode :
242973
Title :
Super-Resolution Using Edge Modification through Stationary Wavelet Transform
Author :
Arif, Fahim ; Sarwar, Tabinda
Author_Institution :
Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear :
2014
fDate :
16-18 July 2014
Firstpage :
357
Lastpage :
360
Abstract :
In this paper, a super-resolution technique is proposed that uses a combination of bicubic interpolation and wavelet transform. Bicubic interpolation produces a high resolution image but is prone to blurring artifact. So the blurring artifact is reduced in the wavelet domain. The input low-resolution is up-sampled using bicubic interpolation. The edges of the resultant high-resolution image are enhanced using stationary wavelet transform (SWT). SWT is applied to the image to produce sub-bands of the image and then these sub-bands are modified by multiplying with a boost value. Then these sub-bands are combined using inverse stationary wavelet transform (ISWT) to produce the final high-resolution image. The quantitative and qualitative analysis illustrate that the proposed technique is provides superior results as compared to other existing techniques.
Keywords :
image enhancement; image resolution; wavelet transforms; bicubic interpolation; edge modification; high resolution image; inverse stationary wavelet transform; super-resolution technique; up-sampled interpolation; Conferences; Image edge detection; Interpolation; Spatial resolution; Wavelet transforms; Image; Magnification; Super-resolution; Up-Scaling; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2014 18th International Conference on
Conference_Location :
Paris
ISSN :
1550-6037
Type :
conf
DOI :
10.1109/IV.2014.46
Filename :
6902930
Link To Document :
بازگشت