Title :
A no-reference quality metric for measuring image blur
Author :
Ong, EePing ; Lin, Weisi ; Lu, Zhongkang ; Yang, Xiaokang ; Yao, Susu ; Pan, Feng ; Jiang, Lijun ; Moschetti, Fulvio
Author_Institution :
Inst. for Infocomm Res., Singapore
Abstract :
In this paper, a method for measuring the perceptual quality of blurred images has been proposed. Here, the amount of image blur is characterized by the average extent of edges in the image, or more specifically the average extent of the slope´s spread of an edge in the opposing gradients´ directions. The effectiveness of such method is validated using subjective tests on blurred images, including JPEG-2000 coded images, and the experimental results show that the proposed method can provide results that correlate relatively well with human subjective ratings.
Keywords :
data compression; edge detection; image coding; image sequences; visual perception; JPEG-2000; Joint Photographic Experts Group; image blur measuring; image coding; no-reference quality metric; perceptual quality measurement; Digital images; Humans; Image analysis; Image coding; Image quality; Image sequence analysis; PSNR; Signal processing; Testing; Transform coding;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224741
