During calculation DIALux evo considers diffuse reflectance, mirroring reflectance and transparent materials. All these properties influence the calculation results. In CAD lighting textures are generated whose visualisation is very close to reality with regard to the luminance distribution on the different surfaces. You can move through the scenes and gain an impression of the light distribution. However, the image is not very realistic. Glossy finishes are missing, objects are not reflected in mirroring surfaces and transparent objects appear strangely shallow. To obtain better images we use the raytracer which is able to visualise camera-dependent effects. The image is much more realistic. However the raytracer can only produce static images which we can use, for example, in documentation.
Starting the raytracer
DIALux calculates a realistic image of the scene with the current settings and the current camera position. The procedure can take some time.
The calculation is cancelled. Interim results are also not available.
You can save the current raytracer image as a JPG, PNG or BMP file on your hard disc or in another location in your computer network.
Create and save HDR
With the aid of the raytracer DIALUx evo can also generate HDR images (High Dynamic Range). The spread of luminance which can be displayed by your monitor will seldom achieve absolute reality. The actual illuminance distribution can however be calculated by DIALuux and saved as a *.exr file and can then be used in other HDR editing programmes.
Give your image a name and a description for better orientation in larger projects. You can use both in the documentation.
Properties - Resolution
On the one hand the resolution determines the size of the newly generated image and, on the other hand, the time required to calculate the image.
It is advisable to first generate an image with a lower resolution in order to check whether the desired effects are visible in the image. Only then should a more time-intensive higher resolution be used. The generation of images with very high resolutions takes up a lot of storage space and requires the appropriate hardware.