Update: The Kindle version of Monochromatic HDR Photography: Shooting and Processing Black & White High Dynamic Range Photos currently available for sale has been corrected and updated to address formatting issues. Monochromatic HDR Photography is the first book intended to show photographers how to work at the intersection of two up-and-coming trends that are at the forefront of the digital revolution: Black & White and High Dynamic Range imaging. The book explains techniques for extending dynamic range, monochromatic conversion methods and best practices where the two technologies intersect. Since successful digital monochromatic image creation generally requires using the color information inherent in RAW exposures, most case studies will be presented in full color. In addition, Monochromatic HDR Photography provides extensive coverage of the creative vision required to successfully create monochromatic HDR images and the workflow necessary to make art prints from this specialized image making technique.

Let $\cal{R}$ be the set of all finite graphs $G$ with the Ramsey property that every coloring of the edges of $G$ by two colors yields a monochromatic triangle. In this paper the authors establish a sharp threshold for random graphs with this property. Let $G(n, p)$ be the random graph on $n$ vertices with edge probability $p$. The authors prove that there exists a function $\widehat c=\widehat c(n)=\Theta(1)$ such that for any $\varepsilon > 0$, as $n$ tends to infinity, $Pr\left[G(n, (1-\varepsilon)\widehat c/\sqrt{n}) \in \cal{R} \right] \rightarrow 0$ and $Pr \left[ G(n, (1]\varepsilon)\widehat c/\sqrt{n}) \in \cal{R}\ \right] \rightarrow 1.$. A crucial tool that is used in the proof and is of independent interest is a generalization of Szemeredi's Regularity Lemma to a certain hypergraph setti