DocumentCode :
2093640
Title :
Image Enhancement by Intensity Based Interpolation and Selective Threshold
Author :
Maurya, Sanjay Kumar ; Mishra, Pavan Kumar ; Singh, Ravindra Kumar ; Misra, Arun Kumar
Author_Institution :
GLA Univ., Mathura, India
fYear :
2012
fDate :
11-13 May 2012
Firstpage :
174
Lastpage :
178
Abstract :
In this paper a new approach for image enhancement considering pixel intensity variation for interpolation is presented. This technique determines edges by comparing the intensity variations between centre pixel and its neighboring pixels of window size 5 5. On the basis of designed thresholds, extrapolated blank pixels are filled. The sliding window 5 5 size gives better result over window size 3 3. The proposed method is tested on satellite and medical images. The quantitative and subjective results have established superiority of the proposed scheme over linear interpolation methods.
Keywords :
image enhancement; interpolation; image enhancement; intensity based interpolation; linear interpolation methods; medical images; pixel intensity variation; satellite images; selective threshold; Image edge detection; Image enhancement; Image resolution; Indexes; Interpolation; PSNR; Bilinear; Image enhancement; Interpolation; nearest neighbor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
Type :
conf
DOI :
10.1109/CSNT.2012.213
Filename :
6200571
Link To Document :
بازگشت