Thumbnail with Integrated Blur Based on Edge Width Analysis

Edge-based Blur Metric for Tamper Detection

In order to check the aboriginality and integrity of a digital photograph, a blind forensics scheme for detecting blur manipulation is proposed in this paper. A costeffective local blur estimator is designed to measure the blurriness of each pixel along a doubted edge. Consistency metric of such a blurriness sequence is constructed based on the deviation from its linear fitting. Then the metric...

No-reference blur assessment based on edge modeling

Edge Detection with Hessian Matrix Property Based on Wavelet Transform

In this paper, we present an edge detection method based on wavelet transform and Hessian matrix of image at each pixel. Many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. In our scheme, we use wavelet transform to approximate Hessian matrix of image at each pixel, too. ...

14.1: Comparison of Blur Edge Time and Gaussian Edge Time as measures of motion blur

Blur Edge Time has been shown to be a reasonable metric for characterisation of motion blur of LCD displays. It can be estimated by taking the 10% to 90% level of the Moving Edge Temporal Profile or by using the standard deviation of a fitted cumulative Gaussian function. In this paper we will compare these two ways of estimating the Blur Edge Time. Ultimately the usefulness of these metrics of...

Comparison of Blur Edge Time and Gaussian Edge Time as measures of motion blur

Blur Edge Time has been shown to be a reasonable metric for characterisation of motion blur of LCD displays. It can be estimated by taking the 10% to 90% level of the Moving Edge Temporal Profile or by using the standard deviation of a fitted cumulative Gaussian function. In this paper we will compare these two ways of estimating the Blur Edge Time. Ultimately the usefulness of these metrics of...