Image deblurring using saliency detection

Author

Johar, A. ; Kalra, G.S.

Author_Institution

Dept. of Electron. & Commun. Eng., Lovely Prof. Univ., Phagwara, India

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

4

Abstract

Motion deblurring is a vastly used technique in image processing and is an interesting task in this field. In this paper an algorithm is proposed for the detection of saliency to create boundaries of the object under observation. In the next step segmentation of the image is performed to separate the image from the background. The image is uniformly blurred by performing kernel estimation of the background image and convoluting it with the focused part of the image. Finally deconvolution is performed on the image in order to obtain a clear image.

Keywords

Hough transforms; deconvolution; filtering theory; image motion analysis; image restoration; image segmentation; statistical analysis; Hough transform; deconvolution; image motion deblurring; image processing; image segmentation; inverse filtering; kernel estimation; saliency detection; Deconvolution; Estimation; Filtering; Image restoration; Image segmentation; Motion segmentation; Signal processing algorithms; Cepstrum; Hough transform; Inverse filtering; Saliency; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Computational Sciences (RAECS), 2014 Recent Advances in

Conference_Location

Chandigarh

Print_ISBN

978-1-4799-2290-1

Type

conf

DOI

10.1109/RAECS.2014.6799576

Filename

6799576