To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. Focal correction technique, one of them, reduces the effect of defocus blur which occurs when a screen is located out of projector's depth-of-field. To achieve focal correction, we have to estimate the degree of defocus blur on the displayed images. Some previous methods use any special pattern images. A method which needs no special image has been proposed, however, this method can't estimate at less-textured or already blurred region in the projection image. In this paper, we propose a novel method for estimating PSF (Point Spread Function) without projecting any special pattern images. To prevent such an estimation error, we search and ext...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
The blurs in images closely resemble an ideal point spread function (PSF) model. This similarity can...
To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. ...
To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. ...
Abstract. To use a projector anytime anywhere, a lot of projector-camera based approaches have been ...
Abstract We propose a method for reducing out-of-focus blur caused by projector projection. We estim...
Abstract—Estimating the amount of blur in a given image is important for computer vision application...
We present a technique to reduce image blur caused by out-of-focus regions in projected imagery. Unl...
In recent years, we have seen highly successful blind image deblurring algorithms that can even hand...
This Point spread function (PSF) plays a crucial role in many computational imaging applications, su...
The parameters of a point spread function consists of the length and angle of the blur kernel. The d...
Two parameters of a point spread function (PSF) are the length and angle of the blur kernel. The deb...
In this paper, we propose a single image deblurring algorithm to remove spatially variant defocus bl...
Defocus estimation is an important part in high quality image processing field, which mainly include...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
The blurs in images closely resemble an ideal point spread function (PSF) model. This similarity can...
To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. ...
To use a projector anytime anywhere, a lot of projector-camera based approaches have been proposed. ...
Abstract. To use a projector anytime anywhere, a lot of projector-camera based approaches have been ...
Abstract We propose a method for reducing out-of-focus blur caused by projector projection. We estim...
Abstract—Estimating the amount of blur in a given image is important for computer vision application...
We present a technique to reduce image blur caused by out-of-focus regions in projected imagery. Unl...
In recent years, we have seen highly successful blind image deblurring algorithms that can even hand...
This Point spread function (PSF) plays a crucial role in many computational imaging applications, su...
The parameters of a point spread function consists of the length and angle of the blur kernel. The d...
Two parameters of a point spread function (PSF) are the length and angle of the blur kernel. The deb...
In this paper, we propose a single image deblurring algorithm to remove spatially variant defocus bl...
Defocus estimation is an important part in high quality image processing field, which mainly include...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
Abstract—We address the problem of estimating and removing localized image blur, as it for example a...
The blurs in images closely resemble an ideal point spread function (PSF) model. This similarity can...