Title :
A fast quality assessment of image blur based on sharpness
Author :
Zhengzi, Wang ; Zhihua, Xie ; Cuiqun, He
Author_Institution :
Key Lab. of Opt.-Electron. & Commun., Normal Univ., Nanchang, China
Abstract :
A new metric for image quality assessment in terms of image sharpness is proposed in this paper. To improve the method efficiency, a criterion for edge sharpness is employed and only the sharpest edge is selected for extraction of line spread function (LSF). Furthermore, the effect of nearby edges on edge feature and LSF is analyzed and a space constrain is put forward to select appropriate LSFs. A new method for pixel interpolation is presented in LSF computation. Finally, the blur parameter is estimated using LSF of edge information. The experimental results demonstrate that the proposed method has fast speed and is accurate when the blur is not serious.
Keywords :
edge detection; feature extraction; interpolation; LSF; edge feature extraction; edge sharpness; image blur; image quality assessment; image sharpness; line spread function; pixel interpolation; Image edge detection; Image quality; Interpolation; Measurement; Noise; Pixel; blind image quality evaluation; blur model; edge detection; edge sharpness; line spread function;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647837
