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Gradient information-based image quality metric | IEEE Journals & Magazine | IEEE Xplore

Gradient information-based image quality metric


Abstract:

In this paper, we propose a new image quality metric using the gradient information. When an image is degraded, the difference exists between the reference and distorted ...Show More

Abstract:

In this paper, we propose a new image quality metric using the gradient information. When an image is degraded, the difference exists between the reference and distorted images. This difference is an important factor in image quality assessment. To assess the quality of an image, we use gradient information of the pixels having large differences between the reference and distorted images. In this paper, the Harris response (HR), a well-known feature, is used to obtain the gradient information for assessing the image quality. That is, HR values at pixels having the nonzero difference between the reference and distorted images are compared for evaluating the image quality. For detecting these pixels, we use a cross-projection tensor based edge suppression technique. Experimental results with the LIVE data set show the effectiveness of the proposed quality measure.
Published in: IEEE Transactions on Consumer Electronics ( Volume: 56, Issue: 2, May 2010)
Page(s): 930 - 936
Date of Publication: 15 July 2010

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