Abstract—An image fidelity assessment and tamper detection using two histogram components of the color image is presented in this paper. The histograms of the red and green channels of the to-be-protected image are embedded in the green and blue channels respectively. The embedded histogram gets destroyed whenever any sort of modification is made to the content of the image yielding to mismatch during the detection process. In addition to the capability of detecting geometric transformation, removal of original objects and addition of foreign objects, the proposed algorithm is also capable of detecting cropping. Experimental results show that embedding the histogram data within the image in this manner does not deteriorate the quality of the original image.
Index Terms—Fidelity Assessment, Histogram, Image, Spatial Domain, Watermarking.
Cite: M. I. Khalil, "Blind Image Fidelity Assessment Using the Histogram," International Journal of Computer Theory and Engineering vol. 1, no. 4, pp. 364-369, 2009.
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