TECHNIQUES

The INFace toolbox v2.1 includes (among others) implementations of the following photometric normalization techniques*:

- the single-scale-retinex algorithm

- the multi-scale-retinex algorithm

- the single-scale self quotient image

- the multi-scale self quotient image

- the homomorphic-filtering-based normalization technique

- a wavelet-based normalization technique

- a wevelet-denoising-based normalization technique

- the isotropic-diffusion-based normalization technique

- the anisotropic-diffusion-based normalization technique

- the non-local-means-based normalization technique

- the adaptive non-local-means-based normalization technique

- the DCT-based normalization technique

- a normalization technique based on steerable filters

- the Gradientfaces-based normalization technique

- a modified anisotropic smoothing normalization technique

- the Weberfaces-based normalization technique

- the multi-scale Weberfaces normalization technique

- the large and small scale features normalization technique

- the Tan and Triggs normalization technique

- a retina modeling based normalization technique

* The images shown in the above examples are taken from the Yale B database.