A Novel Image Processing Filter Designed Using Discrete Fourier Invariant Signal

Author

Ravi, Reshma ; Josemartin, M.J.

Author_Institution

Dept. of Electron. & Commun. Eng., Rajiv Gandhi Inst. of Technol., Kottayam, India

fYear

2014

fDate

9-11 Jan. 2014

Firstpage

468

Lastpage

473

Abstract

In this paper, a new image processing filter is proposed. In order to construct this image smoothing filter, one dimensional discrete Fourier invariant signal generated by an iterative design principle based on gradient descent method is used. The filter shape and values in spatial and frequency domain is almost the same. The proposed filter can be used as a kernel matrix in image processing to perform blurring as well as high frequency noise suppression. Also it can be used as an optimal two dimensional window for spatial-frequency spectral analysis of images.

Keywords

discrete Fourier transforms; filtering theory; gradient methods; image processing; iterative methods; matrix algebra; discrete Fourier invariant signal; filter shape; gradient descent method; image smoothing filter; iterative design principle; kernel matrix; noise suppression; novel image processing filter designed; spatial frequency spectral analysis; Image processing; Iterative methods; Kernel; Smoothing methods; Standards; Time-frequency analysis; 2D kernel matrix; Discrete Fourier invariant signal; image smoothing; spatial-frequency spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference on

Conference_Location

Nagpur

Type

conf

DOI

10.1109/ICESC.2014.88

Filename

6745424