Wiener Filter Based on the Image to Blur

Abstract

Image restoration, refers to the removal or loss in the process of getting digital image degradation of the image quality, image restoration technology is the key to meet the requirements of the point spread function, degradation model is an ill-posed integral equations, in the frequency domain, when H ( U, V ) less or equal to zero, the noise will be amplified, the degraded image and interference in H ( U, V ) value of the spectrum will be small to restore the image influence. In view of the point spread function put forward Wiener filtering algorithm, the noise lead to ill-posed integral with specified signal-to-noise ratio to reduce image restoration effects, through the IPT toolbox for fuzzy image restoration, image quality to achieve the anticipated effect.

A New Embossing Method for Gray Images Using Kalman Filter

“…For almost all intents and purposes these tools are all that is necessary to meet the requirements of a typical photo-editing user. A popular feature of image processing programs on computers is that of embossing images that each pixel of an image is replaced either by a highlight or a shadow, depending on light/dark boundaries on the original image [1]. The embossing effect gives the optical illusion that some objects of the picture are closer or farther away than the background, making a three-dimensional or embossed effect.…”