DocumentCode :
562808
Title :
Image enhancement by spline interpolation and adaptive power spectrum cut-off of filtered images
Author :
Maurya, Sanjay Kumar ; Mishra, Pavan Kumar ; Singh, Ravindra Kumar ; Misra, Arun Kumar
Author_Institution :
Dept. of Electr. Eng., GLA Univ., Mathura, India
fYear :
2012
fDate :
30-31 March 2012
Firstpage :
423
Lastpage :
428
Abstract :
This paper presents a new approach to enhance resolution of the image using interpolation on filtered image. It is evident that low frequency filtered image smoothes the image, though the high frequency filtered image presents sharp change in intensity of the image. Interpolating high frequency filtered image and combining with interpolated low frequency image preserves edge information. Cubic spline interpolation is used to interpolate high and low frequency filtered image. Moreover the cut-off frequency of filter is decided on the basis of power spectrum for better result. The proposed method is tested on satellite and medical images. The quantitative and subjective results has established superiority of the proposed scheme over linear and nonlinear interpolation methods.
Keywords :
filtering theory; image enhancement; image resolution; interpolation; splines (mathematics); adaptive power spectrum cut-off; cubic spline interpolation; edge information; high frequency filtered image; image enhancement; image resolution; linear interpolation method; low frequency image; medical image; nonlinear interpolation method; satellite image; Cutoff frequency; Image edge detection; Image resolution; Information filters; Interpolation; Spline; Filters; Image enhancement; Interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
Type :
conf
Filename :
6216041
Link To Document :
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