How much visual information is needed for image recognition? A pretty small quantity of data will go a long way for the brain and the computer, both of which take shortcuts for the sake of speedy comprehension. In the "Jpegs" series, German photographer Thomas Ruff exploits this imprecision in digital technology, locating online jpegs and enlarging them until the pixels emerge in a chessboard pattern of near abstraction. A closer look at these images reveals that, in addition to the degeneration of the image into a digital grid, the color and brightness generated by the algorithms of the compression also become visible. Many of Ruff's works in this series focus on idyllic, seemingly untouched landscapes, or conversely, on scenes of war and nature disturbed by human manipulation--subjects ill suited to disruptive pixelation, and therefore perfect for Ruff's purposes. Taken together, these images constitute an encyclopedic compendium of contemporary visual culture that also engages the history of landscape painting. A fittingly deluxe and oversize volume, "Jpegs" is the first monograph dedicated exclusively to this monumental series.
El concepto del libro puede parecer simple, sin embargo a lo largo de la lectura se aprecian enlaces entre las fotos (paisajes vs guerra) vinculados mediante la erosión de la imagen digital, en que vemos una terrible equivalencia computacional del blanco proveniente de una explosión con el de unas pacíficas nubes de verano. Nuestro cerebro reconstruye lo destruido por el algoritmo en un ejercicio por momentos desconcertante.
The images are at a perfect scale to communicate where they derived and what this type of looking is about. The essay is enough information. Honestly a pleasant read/view.