Geometric interpretation Starting with any vector v =r Algorithm for chromatic correction Observations:

contrast enhancement 454 Thus we can associate a quasi-ordered set the color vector space E 3 with its own factor set E 3 ρ = K , which is ordered. This association is made by a morphism between quasi-ordered sets the canonic surjective application f . This construction allow us to reduce the study of the quasi-ordered set, E 3 to the study of its own factor set, E 3 ρ = K, which is an ordered set. We can prove the factor set E 3 ρ = K is total ordered set i.e. lattice and even more, a complete lattice because: ∀ K’ ⊆ K , K’ ≠ { ∅ }, ∃ sup{ K’} ∈ K and inf{ K’ } ∈ K Subsequently, we will build a representative system for the equivalency classes based upon the following propositions: Proposition 3: Let be a vector v, belonging to any equivalency class, then every vector obtained through a permutation of its color components will belong to the same equivalency class: ∀C ∈ K , ∀v ∈ C cu v =x 1, x 2, x 3 ⇒ v’ =x σ1 , x σ2, x σ3 ∈ C 10 where σ ∈ S 3 i.e. the symmetric group of the 3-order permutations. Observation: If r ≠ g ≠ b then CardC≥ P 3 =3=6 : ∀C ∈ K , ∀v ∈ C with v =r , g , b ⇒ r , g , b ρ r , b , g ρ g , r , b ρ g , b , r ρ b , r , g ρ b , g , r 11

3. Geometric interpretation Starting with any vector v =r

, g , b we can obtain 5 supplementary vectors represented by congruent color triangles with the original triangle: ‰ If we associate rotary vectors to each color component, then the rotations by angle α= 120 o and 2α= 240 o will produce congruent triangles in the geometric representation of colors: contrast enhancement 455 Original vector v =r , g , b Original vector rotated by angle α=120 o axis 3 = B axis 2 = G axis 1 = R origin θ =60 o axis 3 = B axis 2 = G axis 1 = R origin α = 2 θ = 120 o contrast enhancement 456 Original vector rotated by angle 2 α=240 o ‰ The three reflections related to the 3 axe R,G and B will also generate congruent triangles in the geometric representation of colors: Original vector v =r , g , b axis 2 = G axis 3 = B axis 1 = R origin α = 4 θ = 240 o axis 3 = B axis 2 = G axis 1 = R origin θ =60 o contrast enhancement 457 The reflection of the original vector related to axis R The reflection of the original vector related to axis G axis 3 = B axis 2 = G axis 1 = R origin θ =60 o axis 3 = B axis 2 = G axis 1 = R origin θ =60 o contrast enhancement 458 The reflection of the original vector related to axis B

4. Algorithm for chromatic correction Observations:

‰ The members of the same equivalency class will have very different chromatic properties. ‰ This fact can produce artificial chromatic artifacts, if will define morphological-like operators based upon these symmetrical descriptors functions with respect to the color components. ‰ Solution: After the application of the morphological-like operators we must do a chromatic correction upon the new values of the vectors in a manner that will preserve the relative ratio between the color components. ‰ Chromatic correction is obtained by choosing another vector, from the same equivalency class. This new vector is constructed by a permutation of the color components in a manner that will preserve the relative order in the original vector. ‰ Because any 3 element-permutation can be achieved through the product of 2 transpositions then we can synthesize the next chromatic correction algorithm:

1. We denote the vector in the original image with v =x

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