Skip to content

Back to the project page

Tone Mapping of High Dynamic Range Images for testing square images

This article shows the result of applying different tone mapping operators on HDR images generated by direct volume rendering. We evaluated a total of 24 tone mapping functions.

We input HDR images (given in OpenEXR format) to the tone mapping functions, which generate LDR images in jpeg formats. The input images are generated using Vista, which does direct volumne rendering on data generated using the genraw script, which generates a square volume set which has the dimension 2048*2048*3.

Below are some images generated by different tone mapping functions. The original HDR image has color values ranged from -65504 to 65344.

More information about the individual tone mapping operators can be found in this document.

Operator
Original Image (OpenEXR)

Ashikhmin's operator

Bilateral filtering
Chiu's spatially variant operator
Drago's logarithmic mapping
Ferschin's exponential mapping
Ferwerda's scale factor
Gradient domain compression
Histogram adjustment
Horn's lightness computation
iCAM
Linear scaling (included for comparison)
Logarithmic mapping
Miller's operator
Pattanaik's multi-scale observer model

Oppenheim's frequency domain operator

Pattanaik's visual adaptation for time-dependent display
Photographic operator
Photoreceptor-based operator
Retinex
Schlick's uniform rational quantization
Tumblin-Rushmeier operator
Trilateral filtering
Ward's contrast-based scale factor
Yee's segmentation-based technique

Did You Get
What You
Wanted?
Yes No
Comments