Class with tone mapping algorithm of Meylan et al. (2007)

High Dynamic Range (HDR >8bit images) tone mapping to (conversion to 8bit) use case of the retina.

This algorithm is already implemented in thre Retina class (cv.Retina.applyFastToneMapping) but used it does not require all the retina model to be allocated. This allows a light memory use for low memory devices (smartphones, etc.). As a summary, these are the model properties:

• 2 stages of local luminance adaptation with a different local neighborhood for each.
• first stage models the retina photorecetors local luminance adaptation
• second stage models th ganglion cells local information adaptation
• compared to the initial publication, this class uses spatio-temporal low pass filters instead of spatial only filters. this can help noise robustness and temporal stability for video sequence use cases.

For more information, read to the following papers: [Meylan2007] and [Benoit2010]. Regarding spatio-temporal filter and the bigger retina model: [Herault2010].

References

[Meylan2007]:

Meylan L., Alleysson D., and Susstrunk S., "A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images", Journal of Optical Society of America, A, Vol. 24, N. 9, September, 1st, 2007, pp. 2807-2816

[Benoit2010]:

Benoit A., Caplier A., Durette B., Herault, J.; "Using Human Visual System Modeling For Bio-inspired Low Level Image Processing", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI

[Herault2010]:

Jeanny Herault; "Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception" (Progress in Neural Processing), ISBN: 9814273686. WAPI (Tower ID): 113266891.