DocumentCode :
2761889
Title :
Image Enhancement Using Integer Sequences
Author :
Rajan, Arulalan ; Jamadagni, H.S. ; Rao, Ashok
Author_Institution :
Centre for Electron. Design & Technol., Indian Inst. of Sci., Bangalore
fYear :
2009
fDate :
4-7 Jan. 2009
Firstpage :
685
Lastpage :
689
Abstract :
Frequency domain filters are widely used for smoothening or sharpening of images. Windowing technique is one of the simplest methods to obtain such realizable frequency domain filters. In this paper, we discuss the effect of applying the filter coefficients generated using integer window sequences for image enhancement schemes. The mean square error plot for low pass filtered image shows that over a certain range of threshold values the filter designed based on integer sequences outperforms the filters designed using classical (real numbers) windows. High pass filters designed using integer windows are found to sharpen the images much better than the filters designed using classical windows.
Keywords :
high-pass filters; image enhancement; low-pass filters; mean square error methods; sequences; filter coefficients; frequency domain filters; high pass filters; image enhancement; image sharpening; image smoothening; integer sequences; integer window sequences; low pass filtered image; mean square error plot; threshold values; windowing technique; Art; Educational institutions; Filtering; Finite impulse response filter; Frequency domain analysis; Image enhancement; Low pass filters; Nonlinear filters; Pixel; Statistics; Filtering; Image enhancement; Integer sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
Type :
conf
DOI :
10.1109/DSP.2009.4786010
Filename :
4786010
Link To Document :
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