Multipeak Mean Based Optimized Histogram Modification Framework Using Swarm Intelligence for Image Contrast Enhancement

Algorithm 2

Optimization_PSO procedure.

INPUT: Image with a total number of pixels in the gray-level range

Output: Optimal value of and

BEGIN

Step  1. For each particle

   (a) Initialize particle with feasible random number

     End

Step  2. Do

   (a) For each particle

     (i) Calculate the fitness value (i.e) find the difference between Discrete Entropy

     values of original and enhanced image.

     (ii) If the fitness value is better than the best fitness value (pbest) in history then

     Set current value as the new pbest

           End

    (b) Choose the particle with the best fitness value of all the particles as the gbest

    (c) For each particle

     (i) Calculate particle velocity according to velocity update (11)

     (ii) Update particle position according to position update (12)

             End

   While (maximum iterations are not attained);

Step  3. Output the new population with the optimal values of enhancement parameters and

Step  4. Stop

END.