Quantity of Tomographic Blurring

Compensating for nonstationary blurring by further blurring and deconvolution

In many imaging systems, the point spread function (PSF) is non-stationary. Usually a computation-intensive iterative algorithm is used to de-blur the non-stationary PSF. This paper presents a new idea of using a non-iterative method to compensate for the spatially variant PSF. This method first further blurs the image with a non-stationary kernel so that the resultant image has a stationary PS...

Blurring disciplinary boundaries.

he ambitious and integrated framework of the United Nations (UN) Sustainable Development Goals (SDGs) demonstrates that complex global problems span the natural and social sciences and that solutions to such problems demand a joint approach of the two. Despite decades of efforts toward better integration, much of society still presumes a stark divide between the disciplines, and most scientists...

Quasi-Convolution Pyramidal Blurring

Efficient image blurring techniques based on the pyramid algorithm can be implemented on modern graphics hardware; thus, image blurring with arbitrary blur width is possible in real time even for large images. However, pyramidal blurring methods do not achieve the image quality provided by convolution filters; in particular, the shape of the corresponding filter kernel varies locally, which pot...

Blurring Out Cosmic Puzzles

The Doomsday argument and anthropic arguments are illustrations of a paradox. In both cases, a lack of knowledge apparently yields surprising conclusions. Since they are formulated within a Bayesian framework, the paradox constitutes a challenge to Bayesianism. Several attempts, some successful, have been made to avoid these conclusions, but some versions of the paradox cannot be dissolved with...

Blurring the Disciplinary Boundaries