A novel filter structure with edge preservation feature

Author

Vignesh, C.G. ; Arivuselvam, B. ; Sudha, S.

Author_Institution

ECE Dept., Easwari Eng. Coll., Chennai, India

fYear

2015

fDate

26-28 March 2015

Firstpage

1

Lastpage

5

Abstract

Edge pixels are the key feature widely used for the processing of the digital images. Edges will be lost due to filtering operation carried out on digital images. The structure comprises of alpha trimmed mean filter and edges are preserved with the specialized technique. Lost edge details due to the mean filtering operation are restored with the help of the preserved edges. Balanced histogram technique is used to determine the threshold value to separate the edge details from the images. Image Enhancement factor values are calculated for the different images and compared with the conventional mean filter structure.

Keywords

edge detection; image enhancement; image filtering; alpha trimmed mean filter; balanced histogram technique; digital images; edge details; edge pixels; edge preservation feature; filter structure; image enhancement factor values; threshold value; Filtering algorithms; Histograms; Image edge detection; Maximum likelihood detection; Noise; Nonlinear filters; Signal processing algorithms; Balanced histogram technique; Edge preservation; High pass filter; Mean filter; Median filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Networking (ICSCN), 2015 3rd International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-6822-3

Type

conf

DOI

10.1109/ICSCN.2015.7219913

Filename

7219913