A new edge preserved technique using iterative median filter

Author

Sankaran, K. Sakthidasan ; Bhuvaneshwari, S. ; Nagarajan, Vijay

Author_Institution

Dept. of Electron. & Commun. Eng, Adhiparasakthi Eng. Coll., Melmaruvathur, India

fYear

2014

fDate

3-5 April 2014

Firstpage

1750

Lastpage

1754

Abstract

Median filters are known to overtake adaptive median filters in the removal of impulse noise due to their high and low amount of the pixel values. In this paper, we propose two modifications to improve the image using DTBID and EPIF concepts. The iterative median filter performance shows the preserved eMedian filters are known to overtake adaptive median filters in the removal of impulse noise due to their high and low amount of the pixel values. In this paper, we propose two modifications to improve the image using DTBID and EPIF concepts. The iterative median filter performance shows the preserved edges and also removing the random valued impulse noise using proposed DTBID method. Extremist analysis shows the fight of the would-be modifications in producing enhanced images than the DTBID processes.dges and also removing the random valued impulse noise using proposed DTBID method. Extremist analysis shows the fight of the would-be modifications in producing enhanced images than the DTBID processes.

Keywords

image denoising; image enhancement; impulse noise; median filters; random noise; DTBID method; EPIF method; edge preserved technique; image denoising; image enhancement; iterative median filter; random valued impulse noise; Detectors; Filtering; Focusing; Image edge detection; Iterative methods; PSNR; Image denoising; impulse detector; impulse noise; speckle noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Signal Processing (ICCSP), 2014 International Conference on

Conference_Location

Melmaruvathur

Print_ISBN

978-1-4799-3357-0

Type

conf

DOI

10.1109/ICCSP.2014.6950146

Filename

6950146