1. Matlab tools for controlling low-level image properties
The SHINE toolbox
Matlab tools for controlling low-level image properties

2. SHINE functions
SHINE (Spectrum, Histogram, and Intensity Normalization and Equalization)

3. lumMatch
Function to equate images in terms of mean luminance and contrast (i.e., the standard deviation of the luminance distribution)
newimages = lumMatch(images,mask,lum)
face1new = (face1-mean2(face1))/std2(face1)*S+M;
mean2(face1) =
mean2(face1new) =
std2(face1) =
std2(face1) =
INPUT
OUTPUT
mean2(face2) =
mean2(face2new) =
std2(face2) =
std2(face2) =

4. histMatch Function that matches the luminance histograms across images
newimages = histMatch(images,optim,hist,mask)
See ‘help histMatch’ for infos about the input parameters

6. sfMatch
Function that equates the energy at each spatial frequency (i.e., the rotational average of the Fourier amplitude spectra)
newimages = sfMatch(images,rescaling,tarmag)

8. specMatch
Function for equating the Fourier amplitude spectra across images
images = specMatch(images,rescaling,tarmag)

10. Simultaneous matching
The matching of histograms and Fourier amplitudes affect each other in a way that histograms e.g. are not equated anymore after specMatch
Joint equalization of low-level properties using an iterative approach

13. Download