Depth-Aware Image Compositing Model for Parallax Camera Motion Blur

Structure-Aware Image Compositing

Using Opaque Image Blur for Real-Time Depth-of-Field Rendering and Image-Based Motion Blur

While depth of field is an important cinematographic means, its use in real-time computer graphics is still limited by the computational costs that are necessary to achieve a sufficient image quality. Specifically, color bleeding artifacts between objects at different depths are most effectively avoided by a decomposition into sub-images and the independent blurring of each sub-image. This deco...

Motion parallax thresholds for unambiguous depth perception

The perception of unambiguous depth from motion parallax arises from the neural integration of retinal image motion and extra-retinal eye movement signals. It is only recently that these parameters have been articulated in the form of the motion/pursuit ratio. In the current study, we explored the lower limits of the parameter space in which observers could accurately perform near/far relative ...

Photo-consistent synthesis of motion blur and depth-of-field effects with a real camera model

Article history: Received 10 January 2010 Received in revised form 27 January 2011 Accepted 8 July 2012

Blur-Aware Image Downsampling

Resizing to a lower resolution can alter the appearance of an image. In particular, downsampling an image causes blurred regions to appear sharper. It is useful at times to create a downsampled version of the image that gives the same impression as the original, such as for digital camera viewfinders. To understand the effect of blur on image appearance at different image sizes, we conduct a pe...