DocumentCode
3582849
Title
A new method of super-resolution reconstruction based on wavelet and subpixel interpolation
Author
Senhua Wang ; Zhang Li ; Xiangzhong Li ; Yongqin Yang
Author_Institution
Logistical Inf. & Mil. logistics Eng. Dept., Logistical Eng. Univ., China
fYear
2014
Firstpage
205
Lastpage
208
Abstract
Image super-resolution reconstruction was an important task in the field of image enhancement and image restoration. In this paper, a new super-resolution reconstruction method which based on wavelet analysis and sub-pixel interpolation was proposed by using wavelet edge detection and polynomial subdivision location. The simulation results showed that the boundary of reconstructed high-resolution image is clear and natural, and the subjective judgment and objective evaluation is better than traditional reconstruction algorithm. The algorithm in this paper achieves good effects and reaches good feasibility and validity.
Keywords
edge detection; image enhancement; image reconstruction; image resolution; image restoration; interpolation; polynomials; wavelet transforms; image enhancement; image restoration; objective evaluation; polynomial subdivision location; subjective judgment; subpixel interpolation; super-resolution reconstruction method; wavelet analysis; wavelet edge detection; Image edge detection; Image reconstruction; Interpolation; Reconstruction algorithms; Signal resolution; Spatial resolution; Polynomial Subdivision; Super-resolution Reconstruction; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN
978-1-4799-7207-4
Type
conf
DOI
10.1109/ICCWAMTIP.2014.7073391
Filename
7073391
Link To Document