category: Schönbuch
90 entries, displaying 71 to 75
mushrooms in autumn forest 2013-10-13
oak foliage
young Amanita muscaria (fly amanita)
fungi on a stump
landscape made of fungi, moss and lichen on a stump
horn of plenty (Craterellus cornucopioides)
horn of plenty in beech forest
some of the mushrooms were collected and eaten - not for the first time, as the following drawing from 1999 shows:
published on 2013-10-15
Season: autumn
categories: Schönbuch
keywords: mushroom | Amanita muscaria | horn of plenty | Craterellus cornucopioides | forest
Schaichtal 2013-09-02
Impressions of a bike tour through Schaichtal (Schaich creek valley) in Schönbuch forest, just to the North of my hometown.
reflections in a lake - upside down
reflections
Impatiens glandulifera
Impatiens glandulifera (Himalayan Balsam) on a glade
Schlüsselsee
Schlüsselsee
published on 2013-09-03
Impatiens > Himalayan Balsam (Impatiens glandulifera)
categories: Schönbuch
keywords: Schaichtal | forest | Himalayan Balsam | lake
Bebenhausen 2013-08-30
view of Bebenhausen - the village with a former monastery lies in middle of the Schönbuch forest, north of Tübingen.
building of the former monastery
country garden
published on 2013-08-31
location: Europe > Germany > Baden-Württemberg > Tübingen District > Tübingen > Bebenhausen
categories: Schönbuch
keywords: Bebenhausen | village | forest | garden
Infrared: Birkensee 2013-08-16
Birkensee in infrared
water lily leaves
alternative processing
In the pictures above, the actual infrared intensity is encoded in the brightness, whereas colours are developed in an aesthetic way.
However, infrared pictures can also be processed using the colours from regular images overlaying them on the infrared brightness, which results in the following images:
Birkensee
water lily leaves on Birkensee
pine trees
the different ways of processing in detail:
The first line shows a normal and an infrared picture. The infrared picture (IR-RAW) obtains its colour because the red pixels are most sensitive to the infrared radiation. The easiest processing is to convert the infrared image into a black and white picture (IR-BW). To get coloured images, one can take the colours (VIS-CL) from the normal image and apply them to the infrared black-and-white picture. This result 1 has natural colours with a brightness derived from the infrared image.
Another way to get coloured infrared pictures (the ones first shown) is to apply white balance on the leaves (IR-WB) and then swapping the red and blue channels of the image (result 2).
further impressions
bog cranberry (Vaccinium oxycoccos)
