MATLAB File Help: cv.MergeMertens Index
cv.MergeMertens

Merge exposure sequence to a single image

Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.

The resulting image weight is constructed as weighted average of contrast, saturation and well-exposedness measures.

The resulting image doesn't require tonemapping and can be converted to 8-bit image by multiplying by 255, but it's recommended to apply gamma correction and/or linear tonemapping.

For more information see [MK07].

References

[MK07]:

Tom Mertens, Jan Kautz, and Frank Van Reeth. "Exposure fusion". In Computer Graphics and Applications, 2007. PG'07. 15th Pacific Conference on, pages 382-390. IEEE, 2007.

See also
Class Details
Superclasses handle
Sealed false
Construct on load false
Constructor Summary
MergeMertens Creates MergeMertens object 
Property Summary
ContrastWeight contrast measure weight 
ExposureWeight well-exposedness measure weight 
SaturationWeight saturation measure weight 
id Object ID 
Method Summary
  addlistener Add listener for event. 
  delete Destructor 
  eq == (EQ) Test handle equality. 
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event. 
  process Merges images